Instructions to use sastarogers/alankar-classifier-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sastarogers/alankar-classifier-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sastarogers/alankar-classifier-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sastarogers/alankar-classifier-v1") model = AutoModelForSequenceClassification.from_pretrained("sastarogers/alankar-classifier-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from sastarogers/alankar-classifier-v1: direct link, hf CLI and curl.
- Browser
- Download file 1.11 GB
-
https://huggingface.co/sastarogers/alankar-classifier-v1/resolve/main/model.safetensors
- Command line
-
hf download hf://sastarogers/alankar-classifier-v1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/sastarogers/alankar-classifier-v1/resolve/main/model.safetensors
1.11 GB
- Xet hash:
- 1d3cb3b8e11ec1b3ec9c1961cdf6871b701abb0ed7415e9a41d550f3f9d31bb4
- Size of remote file:
- 1.11 GB
- SHA256:
- d4ae3c8079994b8e995229dadc0cd251ac9e05574e19c8bcdcdbbe37969b1681
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