Instructions to use pucpr/eHelpBERTpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pucpr/eHelpBERTpt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="pucpr/eHelpBERTpt")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("pucpr/eHelpBERTpt") model = AutoModelForTokenClassification.from_pretrained("pucpr/eHelpBERTpt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 415692370d8888de4e41b023f685482348c39f34e60e6fa5b28f8f3bea96aaa0
- Size of remote file:
- 709 MB
- SHA256:
- 0cbe699ef93b8e388f2bb0822ca48101590229fbe394d713e138a416eece8c0d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.