Instructions to use nzindoc/study-dictionary-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nzindoc/study-dictionary-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nzindoc/study-dictionary-roberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nzindoc/study-dictionary-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("nzindoc/study-dictionary-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nzindoc/study-dictionary-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/nzindoc/study-dictionary-roberta-base/resolve/main/training_args.bin
- Command line
-
hf download hf://nzindoc/study-dictionary-roberta-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nzindoc/study-dictionary-roberta-base/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 96d9deb144495562de9d3b607e619784f58f449d89fba980fa929b68ae921473
- Size of remote file:
- 4.09 kB
- SHA256:
- 67a8bffb8f3f76204e194b577c33d4f52132a56bf8974ccbc3496217822268d2
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