Instructions to use ncoop57/bart-base-code-summarizer-java-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ncoop57/bart-base-code-summarizer-java-v0 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="ncoop57/bart-base-code-summarizer-java-v0")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ncoop57/bart-base-code-summarizer-java-v0") model = AutoModelForSeq2SeqLM.from_pretrained("ncoop57/bart-base-code-summarizer-java-v0") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +0 -3
config.json
CHANGED
|
@@ -3,9 +3,6 @@
|
|
| 3 |
"activation_function": "gelu",
|
| 4 |
"add_bias_logits": false,
|
| 5 |
"add_final_layer_norm": false,
|
| 6 |
-
"architectures": [
|
| 7 |
-
"BartForConditionalGeneration"
|
| 8 |
-
],
|
| 9 |
"attention_dropout": 0.0,
|
| 10 |
"bos_token_id": 0,
|
| 11 |
"classif_dropout": 0.0,
|
|
|
|
| 3 |
"activation_function": "gelu",
|
| 4 |
"add_bias_logits": false,
|
| 5 |
"add_final_layer_norm": false,
|
|
|
|
|
|
|
|
|
|
| 6 |
"attention_dropout": 0.0,
|
| 7 |
"bos_token_id": 0,
|
| 8 |
"classif_dropout": 0.0,
|