Instructions to use ThoughtFocusAI/CodeGeneration-CodeT5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThoughtFocusAI/CodeGeneration-CodeT5-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ThoughtFocusAI/CodeGeneration-CodeT5-small") model = AutoModelForSeq2SeqLM.from_pretrained("ThoughtFocusAI/CodeGeneration-CodeT5-small") - Notebooks
- Google Colab
- Kaggle
Commit ·
83e176d
1
Parent(s): 4982690
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
# CodeGeneration-CodeT5-base
|
| 2 |
|
| 3 |
This model was trained from the pretrained CodeT5-small model on an unknown dataset. It achieves the following results on the evaluation set:
|
|
|
|
| 1 |
+
---
|
| 2 |
+
model-index:
|
| 3 |
+
- name: CodeGeneration-CodeT5-small
|
| 4 |
+
results: []
|
| 5 |
+
datasets:
|
| 6 |
+
- ThoughtFocusAI/Python-CodeGeneration
|
| 7 |
+
---
|
| 8 |
+
|
| 9 |
+
|
| 10 |
# CodeGeneration-CodeT5-base
|
| 11 |
|
| 12 |
This model was trained from the pretrained CodeT5-small model on an unknown dataset. It achieves the following results on the evaluation set:
|