Instructions to use pragmatic-programs/pragmatic-ft-listener with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pragmatic-programs/pragmatic-ft-listener with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pragmatic-programs/pragmatic-ft-listener") model = AutoModelForSeq2SeqLM.from_pretrained("pragmatic-programs/pragmatic-ft-listener", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
working-s0=250-s1=250-l0=250-l1=250-ntpr=1024-nr=10-s=10-init-all/listener/round-3 tokenizer
ca2443c -
working-s0=250-s1=250-l0=250-l1=250-ntpr=1024-nr=10-s=10-init-all/listener/round-3 model
87ebf40
-
Fix escaping
7f1720f -
Fix escaping
1b4093a -
Update handler.py
f49875f
-
Create requirements.txt
607e534 -
Create listener.py
64a20cd -
Create handler.py
74f6684 -
Upload tokenizer
0dbe51e -
Upload T5ForConditionalGeneration
4f95c69 -
initial commit
c28dbc0