Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use mdosama39/malayalam-bert-FakeNews-Dravidian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mdosama39/malayalam-bert-FakeNews-Dravidian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mdosama39/malayalam-bert-FakeNews-Dravidian")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mdosama39/malayalam-bert-FakeNews-Dravidian") model = AutoModelForSequenceClassification.from_pretrained("mdosama39/malayalam-bert-FakeNews-Dravidian", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7479f570e82b70a1fe858d939919c652fdba4841cad56318cb4eb51430ba6cc0
- Size of remote file:
- 950 MB
- SHA256:
- 7dbbbc514901fab54f7de63fda212c15c115a000f439941ebe11981c584e0236
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