Instructions to use zylfws/est_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zylfws/est_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zylfws/est_trainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zylfws/est_trainer") model = AutoModelForSequenceClassification.from_pretrained("zylfws/est_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from zylfws/est_trainer: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/zylfws/est_trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://zylfws/est_trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/zylfws/est_trainer/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 4430ac47e55cb942694de0f0c1b6e129d5a45fa7646585c6908ba0ffe7856ea2
- Size of remote file:
- 4.6 kB
- SHA256:
- 7059651931ef82ab8d7ba6036d7b0f4cfa9441be612695859ecbf52da1df3330
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