Instructions to use YonatanRA/glue_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YonatanRA/glue_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YonatanRA/glue_bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YonatanRA/glue_bert") model = AutoModelForSequenceClassification.from_pretrained("YonatanRA/glue_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from YonatanRA/glue_bert: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/YonatanRA/glue_bert/resolve/main/training_args.bin
- Command line
-
hf download hf://YonatanRA/glue_bert/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/YonatanRA/glue_bert/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- c2a17068d585b4b09e08f041f4a50232bc22851572e8c59e6dd815198ecca2fd
- Size of remote file:
- 4.92 kB
- SHA256:
- bc2510a9fff4de72584c40b00fba14ce105161f195f0bed4db0db2219fb8995c
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