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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Add Neuron-optimized model files
Verified signature🤖 On behalf of badaoui, adding AWS Neuron-optimized files.4fdb0a5
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (6b25476c9ec23be088ff2296c9e5a19abcdf6bd5) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>5fe1f0c
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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