Instructions to use SoLID/sgd-response-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SoLID/sgd-response-generator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SoLID/sgd-response-generator") model = AutoModelForSeq2SeqLM.from_pretrained("SoLID/sgd-response-generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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updated response generator with new SGD actions like inform count and increased max length trained on 1 epoch
taisazero0727b39
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Upload pytorch_model.bin with git-lfs
233a233 -
Upload config.json
4964d71 -
Upload tokenizer_config.json
992a516 -
Upload special_tokens_map.json
22003bc -
initial commit
fa79ced