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
LLM_Teached_Bart_From_Scratch / runs /Mar04_21-07-04_oi5vv8ctr1709312124223-tkfr5 /events.out.tfevents.1709557637.oi5vv8ctr1709312124223-tkfr5.22386.0
- Xet hash:
- cebe653f7611202be7e856cbf59dc9eb6e0108dab19d2fa9b19ddcd1235564a6
- Size of remote file:
- 11.6 kB
- SHA256:
- 9faac5114715f3a07a50be091511275526e4d5d749181fb5a160ae56cfe59c45
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