Instructions to use transformersbook/xlm-roberta-base-finetuned-panx-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use transformersbook/xlm-roberta-base-finetuned-panx-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="transformersbook/xlm-roberta-base-finetuned-panx-it")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("transformersbook/xlm-roberta-base-finetuned-panx-it") model = AutoModelForTokenClassification.from_pretrained("transformersbook/xlm-roberta-base-finetuned-panx-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from transformersbook/xlm-roberta-base-finetuned-panx-it: direct link, hf CLI and curl.
- Browser
- Download file 2.93 kB
-
https://huggingface.co/transformersbook/xlm-roberta-base-finetuned-panx-it/resolve/main/training_args.bin
- Command line
-
hf download hf://transformersbook/xlm-roberta-base-finetuned-panx-it/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/transformersbook/xlm-roberta-base-finetuned-panx-it/resolve/main/training_args.bin
2.93 kB
- Xet hash:
- a7905ee917db3dcae5817ca9c56c6f89b0ca797e7ad9dd7d1044f0701ba02332
- Size of remote file:
- 2.93 kB
- SHA256:
- f14250a66c45435b359bd1c5d9611e090ffdcbeb9f2bb4c2af77a92d41b57c70
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