Instructions to use imamnurby/rob2rand_chen_w_prefix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imamnurby/rob2rand_chen_w_prefix with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("imamnurby/rob2rand_chen_w_prefix") model = AutoModelForSeq2SeqLM.from_pretrained("imamnurby/rob2rand_chen_w_prefix") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +2 -2
config.json
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{
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"_name_or_path": "
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"architectures": [
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"
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],
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"decoder": {
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"_name_or_path": "roberta-base",
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{
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"_name_or_path": "rob2rand_chen_w_prefix/checkpoint-35000",
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"architectures": [
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"EncoderDecoderModel"
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],
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"decoder": {
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"_name_or_path": "roberta-base",
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