Instructions to use likejazz/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 likejazz/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="likejazz/xlm-roberta-base-finetuned-panx-it")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("likejazz/xlm-roberta-base-finetuned-panx-it") model = AutoModelForTokenClassification.from_pretrained("likejazz/xlm-roberta-base-finetuned-panx-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a14b300674d31e59e50c98dcf4e4037c5c9397c34c3324cdf10c9fbbcbb3b6c9
- Size of remote file:
- 1.11 GB
- SHA256:
- c97dfbbf4716f525a84dd12530f94bebeab61b2552f922b989fe6a047fc7d486
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