Instructions to use roneliav/QA_discourse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roneliav/QA_discourse with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("roneliav/QA_discourse") model = AutoModelForSeq2SeqLM.from_pretrained("roneliav/QA_discourse", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update tokenizer_config.json
b892506 -
Upload tokenizer.json
8c8edbb -
Delete tokenizer.json
8bae5d8 -
Update special_tokens_map.json
a5e226d -
Update config.json
1f65c5b -
pytorch_model.bin
support not discourse sentences6f5dca6 -
remove old model
32837ba
-
Upload tokenizer_config.json
c7cafb5 -
Upload tokenizer.json
9778106 -
Upload special_tokens_map.json
75e36fb -
Upload config.json
ee89161 -
Delete tokenizer_config.json
4554b2d -
Delete tokenizer.json
7423607 -
Delete special_tokens_map.json
8663f86 -
Delete config.json
bb24b08 -
Update pipeline.py
e4d6f89 -
upgrademodel version
9e944a8 -
change model version
f2818d9
-
Create pipeline.py
30aebe0 -
Upload tokenizer_config.json
0439c26 -
Upload tokenizer.json
ef681af -
Upload special_tokens_map.json
e042df1 -
Upload config.json
3458ab3 -
Upload model files
620d8d8 -
initial commit
1622099