Instructions to use oe2015/XLMsubtask2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oe2015/XLMsubtask2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="oe2015/XLMsubtask2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("oe2015/XLMsubtask2") model = AutoModelForSequenceClassification.from_pretrained("oe2015/XLMsubtask2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
02d0885 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b5cc1878ed8f809a4a068602fabc2e0b0965a60742eef43e66f0de6c72f7a348
size 1112329589
|