Instructions to use DunnBC22/medium-base-News_About_Gold with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/medium-base-News_About_Gold with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DunnBC22/medium-base-News_About_Gold")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DunnBC22/medium-base-News_About_Gold") model = AutoModelForSequenceClassification.from_pretrained("DunnBC22/medium-base-News_About_Gold", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DunnBC22/medium-base-News_About_Gold: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/DunnBC22/medium-base-News_About_Gold/resolve/main/training_args.bin
- Command line
-
hf download hf://DunnBC22/medium-base-News_About_Gold/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DunnBC22/medium-base-News_About_Gold/resolve/main/training_args.bin
3.64 kB
- Xet hash:
- f980fc2445cf7b650210a9f701c0132930ac7db19b055352c11743110bcbc6b6
- Size of remote file:
- 3.64 kB
- SHA256:
- d36956fab72824b443fa3c684cf23261b26fae548aaececd9c4f5f2088ee1e42
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