Instructions to use CareerNinja/BART-Large-data-v3-model-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CareerNinja/BART-Large-data-v3-model-v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CareerNinja/BART-Large-data-v3-model-v1") model = AutoModelForSeq2SeqLM.from_pretrained("CareerNinja/BART-Large-data-v3-model-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Aravind Kumar Rajendran +1: SFconvertbotVerified signature- Adding `safetensors` variant of this model (d2cafe4483c7a171483948613040ecb3069a73bd) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>dc9f502
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Upload tokenizer
Aravind Kumar Rajendranf1e2569 -
Upload BartForConditionalGeneration
Aravind Kumar Rajendranb25b931 -
initial commit
181b3d7