Instructions to use Adapting/dialogue_agent_nlplab2022 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Adapting/dialogue_agent_nlplab2022 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Adapting/dialogue_agent_nlplab2022") model = AutoModelForSeq2SeqLM.from_pretrained("Adapting/dialogue_agent_nlplab2022") - Notebooks
- Google Colab
- Kaggle
blenderbot-400M-distill_20
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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{
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"_name_or_path": "
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"add_bias_logits": false,
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{
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"_name_or_path": "Adapting/dialogue_agent_nlplab2022",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"add_bias_logits": false,
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 1459400769
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