Instructions to use DayCardoso/bert-seq-class-values-no-context_plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DayCardoso/bert-seq-class-values-no-context_plus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DayCardoso/bert-seq-class-values-no-context_plus")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DayCardoso/bert-seq-class-values-no-context_plus") model = AutoModelForSequenceClassification.from_pretrained("DayCardoso/bert-seq-class-values-no-context_plus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DayCardoso/bert-seq-class-values-no-context_plus: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/DayCardoso/bert-seq-class-values-no-context_plus/resolve/main/training_args.bin
- Command line
-
hf download hf://DayCardoso/bert-seq-class-values-no-context_plus/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DayCardoso/bert-seq-class-values-no-context_plus/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 8a3231e103f8ee2cb30228e059d7dc8594dad68e7857b6b115230749d9fb67ef
- Size of remote file:
- 5.43 kB
- SHA256:
- 18be4c3bf0ef2d3f745b326f4ede42ebc513406dd16a2ff3d6bfa86eeedadab7
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