Instructions to use amitjain171980/xlm-roberta-base-finetuned-panx-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amitjain171980/xlm-roberta-base-finetuned-panx-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="amitjain171980/xlm-roberta-base-finetuned-panx-all")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("amitjain171980/xlm-roberta-base-finetuned-panx-all") model = AutoModelForTokenClassification.from_pretrained("amitjain171980/xlm-roberta-base-finetuned-panx-all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cf325fd113f1d122ce7280cb65bc216bee955037feabd25001064b04a50ef52
- Size of remote file:
- 3.58 kB
- SHA256:
- ac78ed60296c344e070fbb2ba8d69d0a6a23700d7814a55ac194125e8f20b04c
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