Instructions to use dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model") model = AutoModelForSequenceClassification.from_pretrained("dipudl/codeT5-DistilBERT-wrong-binary-operator-bug-model") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 267854321
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:14a167f0916e2c72fa7c7f7b0e999dc6ad4878a8e12cc2aef738c4e1f6447342
|
| 3 |
size 267854321
|
runs/Feb21_17-03-25_f64fb82fe737/events.out.tfevents.1676999039.f64fb82fe737.24.3
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eb7d5c7bfcfeaaa952b6cfb62240dbae118fa608595f14dec9d3e4d8a5b0508c
|
| 3 |
+
size 11625
|