Instructions to use samkphd31/ASRS-CMFS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samkphd31/ASRS-CMFS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="samkphd31/ASRS-CMFS")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("samkphd31/ASRS-CMFS") model = AutoModel.from_pretrained("samkphd31/ASRS-CMFS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload training_args.bin with git-lfs
83e2c4f -
Upload scheduler.pt with git-lfs
3e4dbab -
Upload optimizer.pt with git-lfs
3aa414b -
Upload special_tokens_map.json
6995282 -
Upload tokenizer_config.json
eddbbec -
Upload model_args.json
cd3b4a9 -
Upload vocab.json
caa6929 -
Upload merges.txt
cf105d9 -
add model
e5edcf4 -
initial commit
aff28c7