Instructions to use karths/low_priority_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/low_priority_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/low_priority_roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/low_priority_roberta") model = AutoModelForSequenceClassification.from_pretrained("karths/low_priority_roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-11700/optimizer.pt from karths/low_priority_roberta: direct link, hf CLI and curl.
- Browser
- Download file 657 MB
-
https://huggingface.co/karths/low_priority_roberta/resolve/main/checkpoint-11700/optimizer.pt
- Command line
-
hf download hf://karths/low_priority_roberta/checkpoint-11700/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/karths/low_priority_roberta/resolve/main/checkpoint-11700/optimizer.pt
657 MB
- Xet hash:
- 77034583ccef9391874778a0b7d33cc77bb52c633377164c5141f38016e26aa2
- Size of remote file:
- 657 MB
- SHA256:
- 8e5d7a617a55f8cebb48a93962244c920207b8d254d08d245f2f25bb2721a0e2
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