Instructions to use Tirendaz/roberta-base-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tirendaz/roberta-base-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Tirendaz/roberta-base-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Tirendaz/roberta-base-NER") model = AutoModelForTokenClassification.from_pretrained("Tirendaz/roberta-base-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- debf6b5eb02c700e4147c7f15b471d8cb2b2426ccf63171fe1446803a052e44d
- Size of remote file:
- 1.11 GB
- SHA256:
- c17fbf2861416b420a2815ce0705b2801d1657058cc642c8c998d79e0b9cb3f4
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