Transformers
Safetensors
English
bart
text2text-generation
text-summarization
cnn-dailymail
Eval Results (legacy)
Instructions to use phanerozoic/BART-Large-CNN-Scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phanerozoic/BART-Large-CNN-Scratch with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("phanerozoic/BART-Large-CNN-Scratch") model = AutoModelForSeq2SeqLM.from_pretrained("phanerozoic/BART-Large-CNN-Scratch") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +0 -1
config.json
CHANGED
|
@@ -52,7 +52,6 @@
|
|
| 52 |
"num_hidden_layers": 12,
|
| 53 |
"output_past": true,
|
| 54 |
"pad_token_id": 1,
|
| 55 |
-
"prefix": " ",
|
| 56 |
"scale_embedding": false,
|
| 57 |
"task_specific_params": {
|
| 58 |
"summarization": {
|
|
|
|
| 52 |
"num_hidden_layers": 12,
|
| 53 |
"output_past": true,
|
| 54 |
"pad_token_id": 1,
|
|
|
|
| 55 |
"scale_embedding": false,
|
| 56 |
"task_specific_params": {
|
| 57 |
"summarization": {
|