Instructions to use codefuse-ai/ML-Embed-0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codefuse-ai/ML-Embed-0.6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="codefuse-ai/ML-Embed-0.6B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("codefuse-ai/ML-Embed-0.6B") model = AutoModel.from_pretrained("codefuse-ai/ML-Embed-0.6B", device_map="auto") - sentence-transformers
How to use codefuse-ai/ML-Embed-0.6B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("codefuse-ai/ML-Embed-0.6B") 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
Download U.pth from codefuse-ai/ML-Embed-0.6B: direct link, hf CLI and curl.
- Browser
- Download file 156 MB
-
https://huggingface.co/codefuse-ai/ML-Embed-0.6B/resolve/main/U.pth
- Command line
-
hf download hf://codefuse-ai/ML-Embed-0.6B/U.pth
-
curl -L -o U.pth https://huggingface.co/codefuse-ai/ML-Embed-0.6B/resolve/main/U.pth
156 MB
- Xet hash:
- cb58180aef0d2e49080c16d4321a117a794024848de3e29c93e9f5ee15d10330
- Size of remote file:
- 156 MB
- SHA256:
- ed9a8325ba1d1a93695ae13373d213267a70162fe8555887c1ff7542a4158f89
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