Sentence Similarity
sentence-transformers
PyTorch
Transformers
English
bert
fill-mask
feature-extraction
domain-specific
text-embeddings-inference
Instructions to use jkswin/YGO_MiniLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use jkswin/YGO_MiniLM with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jkswin/YGO_MiniLM") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use jkswin/YGO_MiniLM with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jkswin/YGO_MiniLM") model = AutoModelForMaskedLM.from_pretrained("jkswin/YGO_MiniLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.f5823b3
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[DOCS] Remove mask examples in favor of sentence sim task
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[DOCS] Usage example in readme
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[DOC] Fix MLM example task
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[DOCS] Change task to Fill Mask for examples
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[DOCS] Commit initial readme with examples
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Push jkswin/YGO_MiniLM
Model trained on Yugioh Card Text and Yugitube Commentse7c1e4f -
Push jkswin/YGO_MiniLM
Model trained on Yugioh Card Text and Yugitube Commentsf98139d -
Push jkswin/YGO_MiniLM
Model trained on Yugioh Card Text and Yugitube Commentsfdcf53d -
Push jkswin/YGO_MiniLM
Model trained on Yugioh Card Text and Yugitube Commentsf562386 -
Push jkswin/YGO_MiniLM
Model trained on Yugioh Card Text and Yugitube Commentsd00e61f -
Push jkswin/YGO_MiniLM
Model trained on Yugioh Card Text and Yugitube Comments2d07856 -
Push jkswin/YGO_MiniLM
Model trained on Yugioh Card Text and Yugitube Comments8968efd -
initial commit
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