Instructions to use tiagoblima/newsdata-bertimbal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiagoblima/newsdata-bertimbal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tiagoblima/newsdata-bertimbal")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tiagoblima/newsdata-bertimbal") model = AutoModelForSequenceClassification.from_pretrained("tiagoblima/newsdata-bertimbal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tiagoblima/newsdata-bertimbal: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/tiagoblima/newsdata-bertimbal/resolve/main/training_args.bin
- Command line
-
hf download hf://tiagoblima/newsdata-bertimbal/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tiagoblima/newsdata-bertimbal/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 6f3005042f7f504645324f9cedc9cfe79589d3d18ecf6571fc9f1c6385af108e
- Size of remote file:
- 5.11 kB
- SHA256:
- be74161f2418fca3d65c77653d9f63589e7fe60f5a1efd5b8e52afc5b4218094
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