Instructions to use addy88/distilroberta-base-finegrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use addy88/distilroberta-base-finegrain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="addy88/distilroberta-base-finegrain")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("addy88/distilroberta-base-finegrain") model = AutoModelForSequenceClassification.from_pretrained("addy88/distilroberta-base-finegrain") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 543a5db5b7ff2fff7805b1ebd45d27fcc188a54bb2fb94d1edaedfb97fadbcba
- Size of remote file:
- 329 MB
- SHA256:
- 2778465817be378f51557064a5c77315235102aeb307911d2c89a1cb39a44f12
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.