Instructions to use Akhilsplendid/bart-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Akhilsplendid/bart-model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Akhilsplendid/bart-model") model = AutoModelForSeq2SeqLM.from_pretrained("Akhilsplendid/bart-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fab7748b2b7e7a5f97adc0769d06da20a5aecd7d615f516a57d44ec448bccce7
- Size of remote file:
- 1.63 GB
- SHA256:
- b48fabdbf6cb2c9a3e21aabe5e8063f80afb57bed0c5ecb1b0f7b26aa70e3361
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