community[minor]: migrate bigdl-llm to ipex-llm (#19518)

- **Description**: `bigdl-llm` library has been renamed to
[`ipex-llm`](https://github.com/intel-analytics/ipex-llm). This PR
migrates the `bigdl-llm` integration to `ipex-llm` .
- **Issue**: N/A. The original PR of `bigdl-llm` is
https://github.com/langchain-ai/langchain/pull/17953
- **Dependencies**: `ipex-llm` library
- **Contribution maintainer**: @shane-huang

Updated doc:   docs/docs/integrations/llms/ipex_llm.ipynb
Updated test:
libs/community/tests/integration_tests/llms/test_ipex_llm.py

libs/community/langchain_community/llms/bigdl_llm.py

@@ -0,0 +1,145 @@
+import logging
+from typing import Any, Optional
+
+from langchain_core.language_models.llms import LLM
+
+from langchain_community.llms.ipex_llm import IpexLLM
+
+logger = logging.getLogger(__name__)
+
+
+class BigdlLLM(IpexLLM):
+    """Wrapper around the BigdlLLM model
+
+    Example:
+        .. code-block:: python
+
+            from langchain_community.llms import BigdlLLM
+            llm = BigdlLLM.from_model_id(model_id="THUDM/chatglm-6b")
+    """
+
+    @classmethod
+    def from_model_id(
+        cls,
+        model_id: str,
+        model_kwargs: Optional[dict] = None,
+        **kwargs: Any,
+    ) -> LLM:
+        """
+        Construct object from model_id
+
+        Args:
+            model_id: Path for the huggingface repo id to be downloaded or
+                      the huggingface checkpoint folder.
+            model_kwargs: Keyword arguments to pass to the model and tokenizer.
+            kwargs: Extra arguments to pass to the model and tokenizer.
+
+        Returns:
+            An object of BigdlLLM.
+        """
+        logger.warning("BigdlLLM was deprecated. Please use IpexLLM instead.")
+
+        try:
+            from bigdl.llm.transformers import (
+                AutoModel,
+                AutoModelForCausalLM,
+            )
+            from transformers import AutoTokenizer, LlamaTokenizer
+
+        except ImportError:
+            raise ValueError(
+                "Could not import bigdl-llm or transformers. "
+                "Please install it with `pip install --pre --upgrade bigdl-llm[all]`."
+            )
+
+        _model_kwargs = model_kwargs or {}
+
+        try:
+            tokenizer = AutoTokenizer.from_pretrained(model_id, **_model_kwargs)
+        except Exception:
+            tokenizer = LlamaTokenizer.from_pretrained(model_id, **_model_kwargs)
+
+        try:
+            model = AutoModelForCausalLM.from_pretrained(
+                model_id, load_in_4bit=True, **_model_kwargs
+            )
+        except Exception:
+            model = AutoModel.from_pretrained(
+                model_id, load_in_4bit=True, **_model_kwargs
+            )
+
+        if "trust_remote_code" in _model_kwargs:
+            _model_kwargs = {
+                k: v for k, v in _model_kwargs.items() if k != "trust_remote_code"
+            }
+
+        return cls(
+            model_id=model_id,
+            model=model,
+            tokenizer=tokenizer,
+            model_kwargs=_model_kwargs,
+            **kwargs,
+        )
+
+    @classmethod
+    def from_model_id_low_bit(
+        cls,
+        model_id: str,
+        model_kwargs: Optional[dict] = None,
+        **kwargs: Any,
+    ) -> LLM:
+        """
+        Construct low_bit object from model_id
+
+        Args:
+
+            model_id: Path for the bigdl-llm transformers low-bit model folder.
+            model_kwargs: Keyword arguments to pass to the model and tokenizer.
+            kwargs: Extra arguments to pass to the model and tokenizer.
+
+        Returns:
+            An object of BigdlLLM.
+        """
+
+        logger.warning("BigdlLLM was deprecated. Please use IpexLLM instead.")
+
+        try:
+            from bigdl.llm.transformers import (
+                AutoModel,
+                AutoModelForCausalLM,
+            )
+            from transformers import AutoTokenizer, LlamaTokenizer
+
+        except ImportError:
+            raise ValueError(
+                "Could not import bigdl-llm or transformers. "
+                "Please install it with `pip install --pre --upgrade bigdl-llm[all]`."
+            )
+
+        _model_kwargs = model_kwargs or {}
+        try:
+            tokenizer = AutoTokenizer.from_pretrained(model_id, **_model_kwargs)
+        except Exception:
+            tokenizer = LlamaTokenizer.from_pretrained(model_id, **_model_kwargs)
+
+        try:
+            model = AutoModelForCausalLM.load_low_bit(model_id, **_model_kwargs)
+        except Exception:
+            model = AutoModel.load_low_bit(model_id, **_model_kwargs)
+
+        if "trust_remote_code" in _model_kwargs:
+            _model_kwargs = {
+                k: v for k, v in _model_kwargs.items() if k != "trust_remote_code"
+            }
+
+        return cls(
+            model_id=model_id,
+            model=model,
+            tokenizer=tokenizer,
+            model_kwargs=_model_kwargs,
+            **kwargs,
+        )
+
+    @property
+    def _llm_type(self) -> str:
+        return "bigdl-llm"