Instructions to use Dhrumit1314/BART_TextSummary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dhrumit1314/BART_TextSummary with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Dhrumit1314/BART_TextSummary") model = AutoModelForSeq2SeqLM.from_pretrained("Dhrumit1314/BART_TextSummary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from Dhrumit1314/BART_TextSummary: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/Dhrumit1314/BART_TextSummary/resolve/a0dd35aac0cf4a3f39aed1356c44b4683acd8552/tf_model.h5
- Command line
-
hf download hf://Dhrumit1314/BART_TextSummary@a0dd35aac0cf4a3f39aed1356c44b4683acd8552/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/Dhrumit1314/BART_TextSummary/resolve/a0dd35aac0cf4a3f39aed1356c44b4683acd8552/tf_model.h5
1.63 GB
- Xet hash:
- 9bcb8551d1e72dac708ed32ebbf3971fc1b83ad00c40af4c814b1445bc51553d
- Size of remote file:
- 1.63 GB
- SHA256:
- b835f97b6f9854840ffce819ab8e97fa8d680dcb3b7ca45a22342f0cdc3225e1
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