Instructions to use loris3/stratified_10m_curriculum_roberta_source_difficulty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use loris3/stratified_10m_curriculum_roberta_source_difficulty with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="loris3/stratified_10m_curriculum_roberta_source_difficulty")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("loris3/stratified_10m_curriculum_roberta_source_difficulty") model = AutoModelForMaskedLM.from_pretrained("loris3/stratified_10m_curriculum_roberta_source_difficulty", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoints/checkpoint-522/optimizer.pt from loris3/stratified_10m_curriculum_roberta_source_difficulty: direct link, hf CLI and curl.
- Browser
- Download file 1.01 GB
-
https://huggingface.co/loris3/stratified_10m_curriculum_roberta_source_difficulty/resolve/main/checkpoints/checkpoint-522/optimizer.pt
- Command line
-
hf download hf://loris3/stratified_10m_curriculum_roberta_source_difficulty/checkpoints/checkpoint-522/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/loris3/stratified_10m_curriculum_roberta_source_difficulty/resolve/main/checkpoints/checkpoint-522/optimizer.pt
1.01 GB
- Xet hash:
- 322ae1d53b5078279e4a878be60b8ac56fbede83943a954343d3013be9dcbfac
- Size of remote file:
- 1.01 GB
- SHA256:
- ecf7386edfdfbd7fa306f6a9e8904300b02070bc10014c6859da9b688fbdc492
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