Sentence Similarity
Transformers
Safetensors
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use facebook/MEXMA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/MEXMA with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("facebook/MEXMA") model = AutoModel.from_pretrained("facebook/MEXMA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add sentence transformer default CLS pooling (#1)
Verified signature- Add sentence transformer default CLS pooling (9fc2918ef37a03eca5f3a63baf80f7ed834e220d) - Upload folder using huggingface_hub (332ec0de819ed91f26b21b5a0555fe21772b7ce4) - Upload folder using huggingface_hub (45b3e4729013de49bb73f672bff858642bbc79e5) - Upload folder using huggingface_hub (6cc7e62dd677bd0868500348827ec80d4a8185d5) Co-authored-by: Pere-Lluis Huguet Cabot <PereLluis13@users.noreply.huggingface.co>0c96c10
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Initial commit
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