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:
# 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
taisazero
updated response generator with new SGD actions like inform count and increased max length trained on 1 epoch
0727b39 - Xet hash:
- efa23cc706f5c0c0e44d56af01506b4b0b582041ea5d37fb1ce14da1d1f76733
- Size of remote file:
- 2.33 GB
- SHA256:
- 50c391d590f22e0857a4357c530ad80ba920ff77ec6da12e4822099568cd105d
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