Instructions to use dsfsi/PuoBERTa-POS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dsfsi/PuoBERTa-POS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dsfsi/PuoBERTa-POS")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dsfsi/PuoBERTa-POS") model = AutoModelForTokenClassification.from_pretrained("dsfsi/PuoBERTa-POS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (344db98c04146b44d7e1a859eb098fe25a2934d7) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>fc11784
-
Update README.md
ae87159
-
Update README.md
78ee9f7
-
Update README.md
4580bdf -
Update README.md
1aef147 -
Update README.md
afa28c4 -
Update README.md
0c0f88a
-
Update README.md
9630b2e -
Upload 5 files
54689dc -
initial commit
f959343