Instructions to use diallomama/summarization-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diallomama/summarization-fr with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("diallomama/summarization-fr") model = AutoModelForSeq2SeqLM.from_pretrained("diallomama/summarization-fr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 10500
23f612f -
Training in progress, step 10000
7d4b27c -
Training in progress, step 9500
8bb536d -
Training in progress, step 9000
9128d16 -
Training in progress, step 8500
76ff53d -
Training in progress, step 8000
e4bf3f5 -
Training in progress, step 7500
ccc4eca -
Training in progress, step 7000
2650d5f -
Training in progress, step 6500
d3f6d42 -
Training in progress, step 6000
b72e534 -
Training in progress, step 5500
edf68b6 -
Training in progress, step 5000
4477133 -
Training in progress, step 4500
b0d7d4d -
Training in progress, step 4000
fc6a504 -
Training in progress, step 3500
6bff207 -
Training in progress, step 3000
cc9f379 -
Training in progress, step 2500
9e52656 -
Training in progress, step 2000
c5aa253 -
Training in progress, step 1500
37da9c6 -
Training in progress, step 1000
1862875 -
Training in progress, step 500
0f57906 -
initial commit
02b841b