Summarization
Transformers
PyTorch
TensorBoard
bart
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use cs608/multi-news-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cs608/multi-news-model with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="cs608/multi-news-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cs608/multi-news-model") model = AutoModelForSeq2SeqLM.from_pretrained("cs608/multi-news-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.bff9f77 -
Training in progress, step 6000
a6213cb -
Training in progress, step 5500
88bea4a -
Training in progress, step 5000
e8da59e
-
Training in progress, step 4500
811e6bb -
Training in progress, step 4000
d5116ed -
Training in progress, step 3500
6af38d6 -
Training in progress, step 3000
cbe0c19 -
Training in progress, step 2500
156a8eb -
Training in progress, step 2000
7cea2b4 -
Training in progress, step 1500
a6d9872 -
Training in progress, step 1000
5cc1788 -
Training in progress, step 500
1cecef5
-
Training in progress, step 7500
de6d891 -
Training in progress, step 7000
a45b406 -
Training in progress, step 6500
40c9528 -
Training in progress, step 6000
7e7daf8 -
Training in progress, step 5500
b4796cd -
Training in progress, step 5000
3eb6587 -
Training in progress, step 4500
8d6a2dd -
Training in progress, step 4000
205aa6b -
Training in progress, step 3500
e4f5e20 -
Training in progress, step 3000
f6ecb5d -
Training in progress, step 2500
dab03ab -
Training in progress, step 2000
9609e25 -
Training in progress, step 1500
3c107ef -
Training in progress, step 1000
a4a24b9 -
Training in progress, step 500
33d399c
-
Training in progress, step 2500
80ed063 -
Training in progress, step 2000
264941e -
Training in progress, step 1500
9d4ad9c -
Training in progress, step 1000
060aa99 -
Training in progress, step 500
e4efa69
-
Training in progress, step 2000
aa89209 -
Training in progress, step 1500
8c819f8 -
Training in progress, step 1000
5b4129a -
Training in progress, step 500
5313a4c -
update model card README.md
8f14b41 -
Training complete
f2d85ac -
Training in progress, step 1000
6e39a51 -
Training in progress, step 500
7fd0647 -
initial commit
e60edbd