Instructions to use monsoon-nlp/hindi-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monsoon-nlp/hindi-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="monsoon-nlp/hindi-bert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("monsoon-nlp/hindi-bert") model = AutoModel.from_pretrained("monsoon-nlp/hindi-bert", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79a908d04259d06923d92017642d5957639276ae6f54256ca6f0f2df27dacf0d
- Size of remote file:
- 58.9 MB
- SHA256:
- 9be6a376264fabb70ff8e17d8ddae4d8072c9c86a0e63bb4d8dc9b1c0efe9521
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