Instructions to use emilys/twitter-roberta-base-CoNLL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emilys/twitter-roberta-base-CoNLL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="emilys/twitter-roberta-base-CoNLL")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("emilys/twitter-roberta-base-CoNLL") model = AutoModelForTokenClassification.from_pretrained("emilys/twitter-roberta-base-CoNLL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7848e8c865c6b77efbfa008ee6745fe87e3f31a9cde5c3443ced135addef318
- Size of remote file:
- 496 MB
- SHA256:
- 28b4ce1c045ff5364424d161452bb48884b60980c5b0d8d2673df2915393eb95
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