from langchaincommunity.embeddings import HuggingFaceEmbeddings embeddings = HuggingFaceEmbeddings(modelname="BAAI/bge-large-en-v1.5") vectorstore_2 = Chroma( collection_name="full_document", embedding_function=
prompts import PromptTemplate from langchain.chains.loading import load_chain # import LLM hf = HuggingFacePipeline.from_model_id( model_id="gpt2", task="text-generation", pipeline_kwargs={"max_new_tokens": 10}, ) prompt = PromptTemplate( input_variables=["product"], template="What is ...
尝试通过升级或降级到稳定版本的langchain来导入模块HuggingFacePipeline。感谢sangam0406的评论。升级或降级到...
TypeError: INSTRUCTOR._load_sbert_model() got an unexpected keyword argument 'token' My code is from the langchain doc: fromlangchain.embeddingsimportHuggingFaceInstructEmbeddingsmodel_name="hkunlp/instructor-large"model_kwargs={'device':'cpu'}encode_kwargs={'normalize_embeddings':True}hf=HuggingFac...
from huggingface_hub import hf_hub_download from langchain.llms import LlamaCpp from transformers import AutoModelForCausalLM, AutoTokenizer, LlamaForCausalLM, LlamaTokenizer, BitsAndBytesConfig from constants import CONTEXT_WINDOW_SIZE, MAX_NEW_TOKENS, MODELS_PATH, N_BATCH, N_GPU_LAYERS def load...
model_name none is not an allowed value (type=type_error.none.not_allowed) kuppu commented May 20, 2023 pip install llama-cpp-python==0.1.48 resolved my issue, along with pip install 'pygpt4all==v1.0.1' --force-reinstall when using https://huggingface.co/mrgaang/aira/blob/main/gpt...
fromlangchain_community.llmsimportVLLMllm=VLLM(model="/media/user/datadisk/LLM_models/ko-gemma-2-9b-it",# model received from huggingface with the git clone commandtrust_remote_code=True,max_new_tokens=4096,top_k=3,top_p=0.9,temperature=0.7, ...
loading model config llm device: cuda embedding device: cuda dir: D:\langchain-ChatGLM flagging username: 83c47478a1c24284bef3e9004745b9b8 Loading chatglm-6b-int8... No compiled kernel found. Compiling kernels : C:\Users\scx56.cache\huggingface\modules\transformers_modules\chatglm-6b-int8\...
llm_model_dict 处理了loader的一些预设行为,如加载位置,模型名称,模型处理器实例 在以下字典中修改属性值,以指定本地 LLM 模型存储位置 如将"chatglm-6b" 的 "local_model_path" 由 None 修改为 "User/Downloads/chatglm-6b" 此处请写绝对路径
_model = Embeddings( ^^^ File "/usr/local/lib/python3.11/site-packages/codeqai/embeddings.py", line 42, in __init__ self.embeddings = HuggingFaceInstructEmbeddings() ^^^ File "/usr/local/lib/python3.11/site-packages/langchain_community/embeddings/huggingface.py", line 149, in __init__ ...