Instructions to use Irisba/distemist_rigoberta_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Irisba/distemist_rigoberta_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Irisba/distemist_rigoberta_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Irisba/distemist_rigoberta_model") model = AutoModelForTokenClassification.from_pretrained("Irisba/distemist_rigoberta_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7cb8491aef2f9390d93ef2752c6c93b9766ecaea20c53b911e6c9b28db72ecd
- Size of remote file:
- 16.8 MB
- SHA256:
- f4be2093c411e3df775c9b0e4d03ee5acf4716de69d73152fd97bcd71849adf4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.