Instructions to use smiled0g/preflop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smiled0g/preflop with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="smiled0g/preflop")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("smiled0g/preflop") model = AutoModelForSequenceClassification.from_pretrained("smiled0g/preflop", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from smiled0g/preflop: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/smiled0g/preflop/resolve/main/training_args.bin
- Command line
-
hf download hf://smiled0g/preflop/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/smiled0g/preflop/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 91353519dc85c14f9541a58def6d4994980f237f9e7af6b636abb22bf21acac1
- Size of remote file:
- 5.18 kB
- SHA256:
- ae180a3df5c364b793f474275656bb878d8c0efd1664923b4482ad216f3f4084
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