Instructions to use marlex7/trash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marlex7/trash with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marlex7/trash")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marlex7/trash") model = AutoModelForSequenceClassification.from_pretrained("marlex7/trash", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from marlex7/trash: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/marlex7/trash/resolve/main/training_args.bin
- Command line
-
hf download hf://marlex7/trash/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/marlex7/trash/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- 2eefcf51a837e393aa834e28001bf0ba48a46fdbc4bbfa1e6d5e423c26aa527b
- Size of remote file:
- 4.79 kB
- SHA256:
- 1edba7db8bec9b86d3edb674dc28a45ec8a905faf7470003fa2ba8bcef8b0975
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