Instructions to use klue/roberta-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use klue/roberta-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="klue/roberta-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("klue/roberta-small") model = AutoModelForMaskedLM.from_pretrained("klue/roberta-small", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model
This 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.6b25476
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fix: update tokenizer
* tokenizer_config * return only 0 for token_type_idf360e3d -
docs: inference api template
e720782 -
docs: add readme
09467a2
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fix: model_max_length to 512
e82c9ec -
fix: model_max_length to 514
james.ryuee2b827
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fix: several issues
* change special token location on vocab.txt * add bos_token & eos_token7901f13
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feat: Upload model
0ac8348 -
initial commit
ac28c0f