Instructions to use Narshion/mWACH_mBERT_System with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Narshion/mWACH_mBERT_System with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Narshion/mWACH_mBERT_System")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Narshion/mWACH_mBERT_System") model = AutoModelForSequenceClassification.from_pretrained("Narshion/mWACH_mBERT_System", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
3af7fcd -
Upload README.md
e31f2f0 -
Upload vocab.txt
2bf9212 -
Upload training_args.bin with git-lfs
0fa64ad -
Upload tokenizer.json
e094ca5 -
Upload special_tokens_map.json
76cdee1 -
Upload config.json
fa5e966 -
Upload tokenizer_config.json
5a0d410 -
Upload pytorch_model.bin with git-lfs
17cecac -
Update README.md
0690c11 -
initial commit
87a0caa