Instructions to use rose-e-wang/0.00001_0.99 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rose-e-wang/0.00001_0.99 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rose-e-wang/0.00001_0.99")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rose-e-wang/0.00001_0.99") model = AutoModelForSequenceClassification.from_pretrained("rose-e-wang/0.00001_0.99", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from rose-e-wang/0.00001_0.99: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/rose-e-wang/0.00001_0.99/resolve/main/training_args.bin
- Command line
-
hf download hf://rose-e-wang/0.00001_0.99/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rose-e-wang/0.00001_0.99/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 1c7417ec0016ff2fbfcb0b2f8e7f4ebfaa16ca8d67108af8bb51c86092de6ab8
- Size of remote file:
- 4.09 kB
- SHA256:
- ffddcf33d9739c58b31db0607b1b46e884f8f1ce1a4afb55033d1fb91a7cd574
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