Instructions to use ubayram/ConspiracyTurk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ubayram/ConspiracyTurk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ubayram/ConspiracyTurk")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ubayram/ConspiracyTurk") model = AutoModelForSequenceClassification.from_pretrained("ubayram/ConspiracyTurk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ubayram/ConspiracyTurk: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/ubayram/ConspiracyTurk/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ubayram/ConspiracyTurk/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ubayram/ConspiracyTurk/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- 9039a322e85208d719bf4d0c2f4ec284346dbde455e39cf778cab839751c252e
- Size of remote file:
- 443 MB
- SHA256:
- 2f35f78745eb60609acd3ce371965db24d81bdb2bd8c801c150d2e4e7ae597dc
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