Instructions to use yicozy/study-dictionary-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yicozy/study-dictionary-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yicozy/study-dictionary-roberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yicozy/study-dictionary-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("yicozy/study-dictionary-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from yicozy/study-dictionary-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/yicozy/study-dictionary-roberta-base/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://yicozy/study-dictionary-roberta-base@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/yicozy/study-dictionary-roberta-base/resolve/refs%2Fpr%2F1/pytorch_model.bin
499 MB
- Xet hash:
- 46c90f086ac34bd2575956e814e6969d2a267ce877eecab670a650b2be59f8ab
- Size of remote file:
- 499 MB
- SHA256:
- af9255a2e930358b331af92dfb4dc72b9f2bfbc697255cc0cc8e63f064f44d2e
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