Instructions to use bbaaaa/myfork2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bbaaaa/myfork2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bbaaaa/myfork2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bbaaaa/myfork2") model = AutoModel.from_pretrained("bbaaaa/myfork2") - Notebooks
- Google Colab
- Kaggle
- config.json +1 -1
config.json
CHANGED
|
@@ -17,7 +17,7 @@
|
|
| 17 |
"decoder_layerdrop": 0.0,
|
| 18 |
"decoder_layers": 6,
|
| 19 |
"decoder_start_token_id": 2,
|
| 20 |
-
"dropout": 0.
|
| 21 |
"early_stopping": true,
|
| 22 |
"encoder_attention_heads": 16,
|
| 23 |
"encoder_ffn_dim": 4096,
|
|
|
|
| 17 |
"decoder_layerdrop": 0.0,
|
| 18 |
"decoder_layers": 6,
|
| 19 |
"decoder_start_token_id": 2,
|
| 20 |
+
"dropout": 0.1,
|
| 21 |
"early_stopping": true,
|
| 22 |
"encoder_attention_heads": 16,
|
| 23 |
"encoder_ffn_dim": 4096,
|