Instructions to use anjleeg/roberta-base-finetuned-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anjleeg/roberta-base-finetuned-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anjleeg/roberta-base-finetuned-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anjleeg/roberta-base-finetuned-cola") model = AutoModelForSequenceClassification.from_pretrained("anjleeg/roberta-base-finetuned-cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from anjleeg/roberta-base-finetuned-cola: direct link, hf CLI and curl.
- Browser
- Download file 2.67 kB
-
https://huggingface.co/anjleeg/roberta-base-finetuned-cola/resolve/main/training_args.bin
- Command line
-
hf download hf://anjleeg/roberta-base-finetuned-cola/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/anjleeg/roberta-base-finetuned-cola/resolve/main/training_args.bin
2.67 kB
- Xet hash:
- 48572b586b64e1ca381903cd6a07c1f995946707e15aef47e7d056883a4bc572
- Size of remote file:
- 2.67 kB
- SHA256:
- d3ce86cfde566dfe2d6ce33c484f8337258c4909caeb2796a4a9ee64040b6ab2
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