Instructions to use dsfsi/PuoBERTa-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dsfsi/PuoBERTa-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dsfsi/PuoBERTa-NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dsfsi/PuoBERTa-NER") model = AutoModelForTokenClassification.from_pretrained("dsfsi/PuoBERTa-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
297696e
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (75380cee2b2fb5a52327e6c4d49f0331db06aef2) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>11c71f3
-
Update README.md
c68a137
-
Update README.md
afdd18b -
Update README.md
61dfc25
-
Upload config.json
9da34bb -
Update README.md
81ad031 -
Upload eval_results.txt
aa66e43 -
Upload 4 files
224d0c2 -
initial commit
a6b95ff