Instructions to use RogerKam/subTopics-bigBird-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RogerKam/subTopics-bigBird-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RogerKam/subTopics-bigBird-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RogerKam/subTopics-bigBird-base") model = AutoModelForSequenceClassification.from_pretrained("RogerKam/subTopics-bigBird-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from RogerKam/subTopics-bigBird-base: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/RogerKam/subTopics-bigBird-base/resolve/main/training_args.bin
- Command line
-
hf download hf://RogerKam/subTopics-bigBird-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/RogerKam/subTopics-bigBird-base/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- eac382bab56bcf522bb9bb1e711186aaf7b357840803d80759b1157190c06182
- Size of remote file:
- 4.6 kB
- SHA256:
- 07e09eb7510b27c99a82c15310f4e8d6b87347a5fa2955d24f543575ecde62ed
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