Instructions to use ElMad/bemused-trout-607 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ElMad/bemused-trout-607 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ElMad/bemused-trout-607")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ElMad/bemused-trout-607") model = AutoModelForSequenceClassification.from_pretrained("ElMad/bemused-trout-607", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ElMad/bemused-trout-607: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/ElMad/bemused-trout-607/resolve/main/training_args.bin
- Command line
-
hf download hf://ElMad/bemused-trout-607/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ElMad/bemused-trout-607/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 7d20239731b253e652241a06c6e320b9bdb6dfbe38c9911966d33d62dd8efd47
- Size of remote file:
- 5.3 kB
- SHA256:
- 5fde71965aedd829244b68afbb16e5e997b847ca8e3a69f7937adf348862bc01
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