Instructions to use garNER/xlm-roberta-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use garNER/xlm-roberta-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="garNER/xlm-roberta-it")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("garNER/xlm-roberta-it") model = AutoModelForTokenClassification.from_pretrained("garNER/xlm-roberta-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c16fad520e3bdd6a5e988f204f4790d6e7cdbb8f608832e377761d8ca1a999d4
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size 1110049656
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