Instructions to use codefuse-ai/F2LLM-v2-1.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codefuse-ai/F2LLM-v2-1.7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="codefuse-ai/F2LLM-v2-1.7B")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("codefuse-ai/F2LLM-v2-1.7B") model = AutoModel.from_pretrained("codefuse-ai/F2LLM-v2-1.7B") - sentence-transformers
How to use codefuse-ai/F2LLM-v2-1.7B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("codefuse-ai/F2LLM-v2-1.7B") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
File size: 224 Bytes
8ca7181 | 1 2 3 4 5 6 7 8 | {
"prompts": {
"query": "Instruct: Given a question, retrieve passages that can help answer the question.\nQuery: ",
"document": ""
},
"default_prompt_name": null,
"similarity_fn_name": "cosine"
} |