Instructions to use Vishalathreya113/indicbert-voicebot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vishalathreya113/indicbert-voicebot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Vishalathreya113/indicbert-voicebot")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Vishalathreya113/indicbert-voicebot") model = AutoModelForMaskedLM.from_pretrained("Vishalathreya113/indicbert-voicebot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Vishalathreya113/indicbert-voicebot: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Vishalathreya113/indicbert-voicebot/resolve/main/training_args.bin
- Command line
-
hf download hf://Vishalathreya113/indicbert-voicebot/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Vishalathreya113/indicbert-voicebot/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- dfc365429eabd517c748b5a35891618cce474c08ef114189aa45657df8d46415
- Size of remote file:
- 5.3 kB
- SHA256:
- 5980ff479190e12af12ac2875f9046a3ada70c67197d27dc90e3fd18b3ddf7f7
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