Instructions to use Daniel246/test_electra_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Daniel246/test_electra_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Daniel246/test_electra_small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Daniel246/test_electra_small") model = AutoModelForSequenceClassification.from_pretrained("Daniel246/test_electra_small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Daniel246/test_electra_small: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/Daniel246/test_electra_small/resolve/main/training_args.bin
- Command line
-
hf download hf://Daniel246/test_electra_small/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Daniel246/test_electra_small/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 5106d1ed01e49bf740a2d7de5d1be01bd0a3703d839987c6be52f6b5be2fdab5
- Size of remote file:
- 4.73 kB
- SHA256:
- 8d6297ce06b46ca87c984c79fe311d87db37e095a604d3a578e2bbe5d7d95ef7
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