Instructions to use poooj/BertClassificationTestMalayalam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use poooj/BertClassificationTestMalayalam with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="poooj/BertClassificationTestMalayalam")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("poooj/BertClassificationTestMalayalam") model = AutoModelForSequenceClassification.from_pretrained("poooj/BertClassificationTestMalayalam") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8349f470ea07f15df1a9fee6ca3352c74e63d5327e5a357d6dc50bd6697fde49
- Size of remote file:
- 438 MB
- SHA256:
- 10efe2f8fa9f05f12c1533eb50830578bcc75135272ec4743f7b1f0693c53a7b
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