Instructions to use amitjain171980/xlm-roberta-base-finetuned-panx-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amitjain171980/xlm-roberta-base-finetuned-panx-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="amitjain171980/xlm-roberta-base-finetuned-panx-all")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("amitjain171980/xlm-roberta-base-finetuned-panx-all") model = AutoModelForTokenClassification.from_pretrained("amitjain171980/xlm-roberta-base-finetuned-panx-all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a00862a6c4a4498d1e889ddd34424d472676376e811ae5c78d3d31fb81c51b93
- Size of remote file:
- 1.11 GB
- SHA256:
- 99d0f733229c5c218310723be366c7bae48ffbd36c4a52d3679d7f754aa3876e
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