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")# pip install -U transformers accelerate # 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 model.safetensors from Vishalathreya113/indicbert-voicebot: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/Vishalathreya113/indicbert-voicebot/resolve/main/model.safetensors
- Command line
-
hf download hf://Vishalathreya113/indicbert-voicebot/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Vishalathreya113/indicbert-voicebot/resolve/main/model.safetensors
1.11 GB
- Xet hash:
- 2e3c1fbe91a531ae650f602fccc1d1329785597ef76419e89411a912109a2af6
- Size of remote file:
- 1.11 GB
- SHA256:
- d0721d27c826a94b708757a11aa2bedb5d5efe06e1012a4baeb5e06126182603
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