Instructions to use MatthewsO3/GraphCode-CErl-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatthewsO3/GraphCode-CErl-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="MatthewsO3/GraphCode-CErl-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("MatthewsO3/GraphCode-CErl-base") model = AutoModelForMaskedLM.from_pretrained("MatthewsO3/GraphCode-CErl-base") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -8,5 +8,13 @@ metrics:
|
|
| 8 |
- perplexity
|
| 9 |
base_model:
|
| 10 |
- microsoft/graphcodebert-base
|
| 11 |
-
pipeline_tag:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12 |
---
|
|
|
|
| 8 |
- perplexity
|
| 9 |
base_model:
|
| 10 |
- microsoft/graphcodebert-base
|
| 11 |
+
pipeline_tag: fill-mask
|
| 12 |
+
license: mit
|
| 13 |
+
library_name: transformers
|
| 14 |
+
tags:
|
| 15 |
+
- code
|
| 16 |
+
- c++
|
| 17 |
+
- erlang
|
| 18 |
+
- graphcodebert
|
| 19 |
+
- mlm
|
| 20 |
---
|