Instructions to use Leotrim/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Leotrim/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Leotrim/model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Leotrim/model") model = AutoModelForSequenceClassification.from_pretrained("Leotrim/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Leotrim/model: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/Leotrim/model/resolve/main/training_args.bin
- Command line
-
hf download hf://Leotrim/model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Leotrim/model/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 038c384d8a4b1eaa909f772eea0a81983e9f44dbdcfec4ae50f648eb683f6105
- Size of remote file:
- 5.11 kB
- SHA256:
- 4c40be56ba98bd0876c9d7cfa5a74465548420c30ee11b1b808ef3252670f0a3
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