Instructions to use yeye776/bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yeye776/bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yeye776/bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yeye776/bert") model = AutoModelForSequenceClassification.from_pretrained("yeye776/bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from yeye776/bert: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/yeye776/bert/resolve/main/training_args.bin
- Command line
-
hf download hf://yeye776/bert/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/yeye776/bert/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- a7cb4bae72bdcb8abb76bdde712e384d84eed83cb353f46b6b3db936e01c3fa5
- Size of remote file:
- 5.05 kB
- SHA256:
- e60556834cee364a2709fbf3e7d5d2a156c4ef7f250b500ac7efbb2476846249
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