Instructions to use alinashrestha/tmp_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alinashrestha/tmp_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alinashrestha/tmp_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alinashrestha/tmp_trainer") model = AutoModelForSequenceClassification.from_pretrained("alinashrestha/tmp_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from alinashrestha/tmp_trainer: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/alinashrestha/tmp_trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://alinashrestha/tmp_trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/alinashrestha/tmp_trainer/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- cc71cd6d67fb6ffb2d80743569d1a90432d8c4c4519d8d6975d7b14f33aa49c6
- Size of remote file:
- 5.2 kB
- SHA256:
- ba8262f63c0ec1be09dd9d7a275daebcd9bc2ac7af8c61e7e8b2dc1dad42e4cd
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