Instructions to use Kiranontimitta/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kiranontimitta/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kiranontimitta/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Kiranontimitta/results") model = AutoModelForSequenceClassification.from_pretrained("Kiranontimitta/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Kiranontimitta/results: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/Kiranontimitta/results/resolve/main/training_args.bin
- Command line
-
hf download hf://Kiranontimitta/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Kiranontimitta/results/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 214a61db512cef0462c22d539aeea1b3a0f92e97e0d0d71139cfc8df6cedf172
- Size of remote file:
- 5.18 kB
- SHA256:
- 7ee6468c191f977d62c57374ab5a21f9917a3be10b9b35e6e0b805f5ca1f6f8e
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