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:
- 544b856dbf75e7fe1c5cbf762455e1d9e979d983ae4704987d36462cbf71c09f
- Size of remote file:
- 497 MB
- SHA256:
- da65fe95de9e524469fc675d33df6af5e6e78aeb1ed2c2522bb73011edda1dde
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