Transformers
TensorBoard
Safetensors
English
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use cheaptrix/MTSUFall2024SoftwareEngineering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cheaptrix/MTSUFall2024SoftwareEngineering with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cheaptrix/MTSUFall2024SoftwareEngineering") model = AutoModelForSeq2SeqLM.from_pretrained("cheaptrix/MTSUFall2024SoftwareEngineering") - Notebooks
- Google Colab
- Kaggle
Set max_length to 300.
Browse files- config.json +1 -1
config.json
CHANGED
|
@@ -29,7 +29,7 @@
|
|
| 29 |
"summarization": {
|
| 30 |
"early_stopping": true,
|
| 31 |
"length_penalty": 2.0,
|
| 32 |
-
"max_length":
|
| 33 |
"min_length": 30,
|
| 34 |
"no_repeat_ngram_size": 3,
|
| 35 |
"num_beams": 4,
|
|
|
|
| 29 |
"summarization": {
|
| 30 |
"early_stopping": true,
|
| 31 |
"length_penalty": 2.0,
|
| 32 |
+
"max_length": 300,
|
| 33 |
"min_length": 30,
|
| 34 |
"no_repeat_ngram_size": 3,
|
| 35 |
"num_beams": 4,
|