Instructions to use BahAdoR0101/my_xlm-roberta-large-finetuned-conlljob01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BahAdoR0101/my_xlm-roberta-large-finetuned-conlljob01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BahAdoR0101/my_xlm-roberta-large-finetuned-conlljob01")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("BahAdoR0101/my_xlm-roberta-large-finetuned-conlljob01") model = AutoModelForTokenClassification.from_pretrained("BahAdoR0101/my_xlm-roberta-large-finetuned-conlljob01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29253b0127f595f9a5bad7ac140c9f697031dfa4b45f326c86cfac748b2f2367
- Size of remote file:
- 431 MB
- SHA256:
- 5ca52975e3eae800569779b2a1942d1b471c51a21a4f35ffc16cf41aa1426f92
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