Instructions to use Ridealist/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 Ridealist/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="Ridealist/xlm-roberta-base-finetuned-panx-it")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Ridealist/xlm-roberta-base-finetuned-panx-it") model = AutoModelForTokenClassification.from_pretrained("Ridealist/xlm-roberta-base-finetuned-panx-it") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a740472a33397310ace3140c5d2113678905ea384a999bcd60814571ce3b652d
- Size of remote file:
- 4.08 kB
- SHA256:
- a641fba3a5254907473912d4da6bb90a7707c93554ab0d8f31655ac3473b33ce
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.