docs: huggingface package (#21645)

This commit is contained in:
Erick Friis
2024-05-13 20:17:40 -07:00
committed by GitHub
parent cd1879f5e7
commit 2a984e8e3f
28 changed files with 50 additions and 87 deletions

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@@ -647,7 +647,7 @@ Sometimes you may not have the luxury of using OpenAI or other service-hosted la
import logging
import torch
from transformers import AutoTokenizer, GPT2TokenizerFast, pipeline, AutoModelForSeq2SeqLM, AutoModelForCausalLM
from langchain_community.llms import HuggingFacePipeline
from langchain_huggingface import HuggingFacePipeline
# Note: This model requires a large GPU, e.g. an 80GB A100. See documentation for other ways to run private non-OpenAI models.
model_id = "google/flan-ul2"
@@ -992,7 +992,7 @@ Now that you have some examples (with manually corrected output SQL), you can do
```python
from langchain.prompts import FewShotPromptTemplate, PromptTemplate
from langchain.chains.sql_database.prompt import _sqlite_prompt, PROMPT_SUFFIX
from langchain_community.embeddings.huggingface import HuggingFaceEmbeddings
from langchain_huggingface import HuggingFaceEmbeddings
from langchain.prompts.example_selector.semantic_similarity import SemanticSimilarityExampleSelector
from langchain_community.vectorstores import Chroma