accessing Hugging Face's embeddings locally on domino

[mashdud]

I'm having issues with accessing hugging face embeddings on dominol lab,I tried various code but nothing seems to work .sentence-transformers/all-MiniLM-L6-v2

Hello
Kindly Asking for help!!!!!!!

ALL DATASE ON DOMINOLAB

the following are the embeddings method I tried to access the local model.

METHOD1:
def custom_embedding_function(texts):
with torch.no_grad():
encoded_input = tokenizer(texts, return_tensors='pt', padding=True, truncation=True)
outputs = model(**encoded_input)
token_embeddings = outputs.last_hidden_state
sentence_embeddings = token_embeddings.mean(dim=1)
return sentence_embeddings.numpy()
db = Chroma.from_documents(texts, custom_embedding_function)

ERROR:'Function' object has no attribute embed_documents

METHOD2:
class CustomEmbeddingFunction:
def init(self, tokenizer, model):
self.tokenizer = tokenizer
self.model = model

def embed_documents(self, texts):
    with torch.no_grad():
        encoded_input = self.tokenizer(texts, return_tensors='pt', padding=True, truncation=True)
        outputs = self.model(**encoded_input)
        token_embeddings = outputs.last_hidden_state
        sentence_embeddings = token_embeddings.mean(dim=1)
    return sentence_embeddings.numpy()

custom_embedding = CustomEmbeddingFunction(tokenizer, model)
db = Chroma.from_documents(texts, custom_embedding)

ERROR : custom_embedding object has no attribute embed_documents still get the same error

error is related to the LangChain library expecting an embed_documents attribute in the embedding function.

METHOD3:

from langchain.embeddings import HuggingFaceEmbeddings

model_name = "sentence-transformers/all-mpnet-base-v2"
model_kwargs = {'device': 'cpu'}
hf = HuggingFaceEmbeddings(model_name=model_name, model_kwargs=model_kwargs)

ERROR:
this one is callling huggingface Hub which i cant access

METHOD4:
tokenizer = AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2")
model = AutoModelForCausalLM.from_pretrained("sentence-transformers/all-MiniLM-L6-v2")

ERROR:

Testing if the embbedings model is working