Instructions to use haji2438/test_sin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haji2438/test_sin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="haji2438/test_sin")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("haji2438/test_sin") model = AutoModelForSequenceClassification.from_pretrained("haji2438/test_sin", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from haji2438/test_sin: direct link, hf CLI and curl.
- Browser
- Download file 1.08 GB
-
https://huggingface.co/haji2438/test_sin/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://haji2438/test_sin/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/haji2438/test_sin/resolve/main/pytorch_model.bin
1.08 GB
- Xet hash:
- c5d464a9dc429c68da681f09520be049c3aaf9d14970c3445cd50ac3942dfda8
- Size of remote file:
- 1.08 GB
- SHA256:
- 307d35319ef22a6128e4eea326316a7dede6da927b17745fd840312e86045d23
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