Instructions to use Tommert25/RobBERTBestModelOct13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tommert25/RobBERTBestModelOct13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Tommert25/RobBERTBestModelOct13")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Tommert25/RobBERTBestModelOct13") model = AutoModelForTokenClassification.from_pretrained("Tommert25/RobBERTBestModelOct13", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Tommert25/RobBERTBestModelOct13: direct link, hf CLI and curl.
- Browser
- Download file 1.71 MB
-
https://huggingface.co/Tommert25/RobBERTBestModelOct13/resolve/90ab464790eac4e097737a1ca36bddf9f2dcd9aa/tokenizer.json
- Command line
-
hf download hf://Tommert25/RobBERTBestModelOct13@90ab464790eac4e097737a1ca36bddf9f2dcd9aa/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Tommert25/RobBERTBestModelOct13/resolve/90ab464790eac4e097737a1ca36bddf9f2dcd9aa/tokenizer.json
1.71 MB
File too large to display, you can check the raw version instead.