Instructions to use gargam/roberta-base-crest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gargam/roberta-base-crest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gargam/roberta-base-crest")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gargam/roberta-base-crest") model = AutoModelForSequenceClassification.from_pretrained("gargam/roberta-base-crest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from gargam/roberta-base-crest: direct link, hf CLI and curl.
- Browser
- Download file 2.35 kB
-
https://huggingface.co/gargam/roberta-base-crest/resolve/main/training_args.bin
- Command line
-
hf download hf://gargam/roberta-base-crest/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gargam/roberta-base-crest/resolve/main/training_args.bin
2.35 kB
- Xet hash:
- 42f04660916767063179c68dc4b3f99ba35c1f7b898d1b00f508c4504827e2b5
- Size of remote file:
- 2.35 kB
- SHA256:
- a78fc62857e1bbe45780988407dcaca38a71196069f865f75822e545f73893c7
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