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")# 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 pytorch_model.bin from transformersbook/xlm-roberta-base-finetuned-panx-it: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/transformersbook/xlm-roberta-base-finetuned-panx-it/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://transformersbook/xlm-roberta-base-finetuned-panx-it/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/transformersbook/xlm-roberta-base-finetuned-panx-it/resolve/main/pytorch_model.bin
1.11 GB
- Xet hash:
- a8987dddc6c0372e686c44eadfa70e476b326ce1ab047662f3b2d1ec3763a443
- Size of remote file:
- 1.11 GB
- SHA256:
- 28b45767fcc1e499eb883fce304a12de88e21f3bf9549d8c576e74cc47986688
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