Instructions to use lijingxin/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 lijingxin/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="lijingxin/xlm-roberta-base-finetuned-panx-all")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lijingxin/xlm-roberta-base-finetuned-panx-all") model = AutoModelForTokenClassification.from_pretrained("lijingxin/xlm-roberta-base-finetuned-panx-all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
0f51a08 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b09fbfb74498b6746257257439e117471dc7be004752a7794e6d5b7487cf6224
size 1109921521
|