Instructions to use GlycerinLOL/LLM_Teached_Bart_From_Scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GlycerinLOL/LLM_Teached_Bart_From_Scratch with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("GlycerinLOL/LLM_Teached_Bart_From_Scratch") model = AutoModelForSeq2SeqLM.from_pretrained("GlycerinLOL/LLM_Teached_Bart_From_Scratch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4601c59d536fad15334c40dd35246fe86ab9f04b94922383065706b374254ae
- Size of remote file:
- 1.63 GB
- SHA256:
- 92e2e3bb6c5492e767df277fa27a2835f6aaca19b078845dcb2c7c435163d9a5
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