Instructions to use codefuse-ai/F2LLM-v2-0.6B-Preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codefuse-ai/F2LLM-v2-0.6B-Preview with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="codefuse-ai/F2LLM-v2-0.6B-Preview")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("codefuse-ai/F2LLM-v2-0.6B-Preview") model = AutoModel.from_pretrained("codefuse-ai/F2LLM-v2-0.6B-Preview") - sentence-transformers
How to use codefuse-ai/F2LLM-v2-0.6B-Preview with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("codefuse-ai/F2LLM-v2-0.6B-Preview") 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
- Xet hash:
- 2dcae9047c53870e98a579779a6c099fe7411a26df45b81ca512886b92633731
- Size of remote file:
- 1.19 GB
- SHA256:
- 9e251c9e921eb7907d3b7d478282e44557cd972b0d8ee15a16382289b001e08b
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