Instructions to use ka05ar/banglabert-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ka05ar/banglabert-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ka05ar/banglabert-sentiment")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ka05ar/banglabert-sentiment") model = AutoModelForSequenceClassification.from_pretrained("ka05ar/banglabert-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (f1a3b87bf88d82d405b3a62295a62ec71506d9b2) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>a9acd01
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Update README.md
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Create README.md
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Training in progress, step 500
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initial commit
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