Instructions to use callmesan/indic-bert-hinglish-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use callmesan/indic-bert-hinglish-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="callmesan/indic-bert-hinglish-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("callmesan/indic-bert-hinglish-binary") model = AutoModelForSequenceClassification.from_pretrained("callmesan/indic-bert-hinglish-binary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b73f67d977efc3bf45c8fc1e28270f7754e3a7ae6510cc52f06861dc415be71
- Size of remote file:
- 5.24 kB
- SHA256:
- 5205bc8ee4b1291b17899392d07efc04f5287fc3b39b56b04908cdbee6874b93
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