Instructions to use ShynBui/s21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShynBui/s21 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="ShynBui/s21")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ShynBui/s21") model = AutoModelForQuestionAnswering.from_pretrained("ShynBui/s21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ShynBui/s21: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/ShynBui/s21/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://ShynBui/s21@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ShynBui/s21/resolve/refs%2Fpr%2F1/training_args.bin
3.96 kB
- Xet hash:
- a3311d495e8c29448b542f6450d7e10a71619ca3da251722682b5cc07e0fad35
- Size of remote file:
- 3.96 kB
- SHA256:
- 11d084a0cacf813381817ec72b09a875515774e34725b5c353efe5057c9746b1
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