Instructions to use DidulaThavisha/distilroberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DidulaThavisha/distilroberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DidulaThavisha/distilroberta")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DidulaThavisha/distilroberta") model = AutoModelForTokenClassification.from_pretrained("DidulaThavisha/distilroberta") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3b0080526253b7e5bab738da44061a6b42e8c2fa4d808a1fa4f779c296f45c08
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size 326155436
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