Instructions to use hugo-albert/roberta-large-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hugo-albert/roberta-large-pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hugo-albert/roberta-large-pos")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hugo-albert/roberta-large-pos") model = AutoModelForTokenClassification.from_pretrained("hugo-albert/roberta-large-pos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hugo-albert/roberta-large-pos: direct link, hf CLI and curl.
- Browser
- Download file 2.23 MB
-
https://huggingface.co/hugo-albert/roberta-large-pos/resolve/main/tokenizer.json
- Command line
-
hf download hf://hugo-albert/roberta-large-pos/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hugo-albert/roberta-large-pos/resolve/main/tokenizer.json
2.23 MB
File too large to display, you can check the raw version instead.