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:
- 5851ae18945ab14288e43512f259d7a397cc899d5c2395afdff472866a767824
- Size of remote file:
- 431 MB
- SHA256:
- 281c752c4b79376cf0d6f9a295079f3b6a60099b54cc3a9799683e64a34da7d9
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