Instructions to use uzaaft/bart_lfqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uzaaft/bart_lfqa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uzaaft/bart_lfqa") model = AutoModelForSeq2SeqLM.from_pretrained("uzaaft/bart_lfqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebe8f669d9405f5df962b98d1cd72c99bd6dd0961dd5eac9bb1dade7809eeecc
- Size of remote file:
- 258 MB
- SHA256:
- dd51b3af2cbdff9d1f0e8de85fb84b77138a0e6097ea2ee49627330a3f321e8d
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