Instructions to use nmb-paperspace-hf/roberta-base-finetuned-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nmb-paperspace-hf/roberta-base-finetuned-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nmb-paperspace-hf/roberta-base-finetuned-cola")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nmb-paperspace-hf/roberta-base-finetuned-cola") model = AutoModelForSequenceClassification.from_pretrained("nmb-paperspace-hf/roberta-base-finetuned-cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nmb-paperspace-hf/roberta-base-finetuned-cola: direct link, hf CLI and curl.
- Browser
- Download file 249 MB
-
https://huggingface.co/nmb-paperspace-hf/roberta-base-finetuned-cola/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nmb-paperspace-hf/roberta-base-finetuned-cola/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nmb-paperspace-hf/roberta-base-finetuned-cola/resolve/main/pytorch_model.bin
249 MB
- Xet hash:
- cf7ab57090158b4f34fc1a1df40aeed3907b859c9adb4724c00d7a9d2610cbe5
- Size of remote file:
- 249 MB
- SHA256:
- 8147252c57a5bd307cf83b1b620ae8cc311095f185c9971e62858a0cdfc04db1
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