Instructions to use arnolfokam/mbert-base-uncased-pcm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arnolfokam/mbert-base-uncased-pcm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="arnolfokam/mbert-base-uncased-pcm")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("arnolfokam/mbert-base-uncased-pcm") model = AutoModelForTokenClassification.from_pretrained("arnolfokam/mbert-base-uncased-pcm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Update README.md 7d51fe1
Update README.md b1722b5
Second version model 80ad0fa
arnolfokam commited on
Delete pytorch_model.bin b5b4f1e
Create README.md c73a96d
First model version 1be5e92
arnolfokam commited on