Instructions to use Akash751/banglabert-code-mixed-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Akash751/banglabert-code-mixed-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Akash751/banglabert-code-mixed-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Akash751/banglabert-code-mixed-emotion") model = AutoModelForSequenceClassification.from_pretrained("Akash751/banglabert-code-mixed-emotion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d2cf591512c8beb7eec53b1fbf10d8df9c28e8e1fb4239894ee74c1c58ed200
- Size of remote file:
- 5.2 kB
- SHA256:
- 0a91ecec99a173b2ac2b26f9d70f7a788c8afa4eb8bf6e67559f98665b974498
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