Token Classification
Transformers
PyTorch
TensorFlow
JAX
roberta
roberta-base
NER
named-entities
BIO
movies
Instructions to use thatdramebaazguy/roberta-base-MITmovie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thatdramebaazguy/roberta-base-MITmovie with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="thatdramebaazguy/roberta-base-MITmovie")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("thatdramebaazguy/roberta-base-MITmovie") model = AutoModelForTokenClassification.from_pretrained("thatdramebaazguy/roberta-base-MITmovie") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bdcb5c59480c33909aff34af6720abe9d342d545e02abb4248fa4b6accb3078
- Size of remote file:
- 496 MB
- SHA256:
- 8d7c8a2c2234efcf3dc84fd790ed233f3de0e7f1f1dc675af6f297039e1d1575
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