Instructions to use ParsaKgvr/mmdBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ParsaKgvr/mmdBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ParsaKgvr/mmdBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ParsaKgvr/mmdBERT") model = AutoModelForSequenceClassification.from_pretrained("ParsaKgvr/mmdBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
7c94767 -
Update README.md
ae10022 -
Create README.md
a6a5df4 -
Upload Tokenizer
e5a4727 -
Upload BertForSequenceClassification
802480b
-
Upload Tokenizer
a63d296 -
Upload BertForSequenceClassification
8b3ea75 -
Upload BertForSequenceClassification
66450de -
initial commit
97a9236