Instructions to use Data255FinalProj/bert-gd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Data255FinalProj/bert-gd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Data255FinalProj/bert-gd")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Data255FinalProj/bert-gd") model = AutoModelForQuestionAnswering.from_pretrained("Data255FinalProj/bert-gd") - Notebooks
- Google Colab
- Kaggle
Commit 路
be28a9b
1
Parent(s): 456c042
Training in progress epoch 2
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 430957037
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:87ff6d4dfecd80676d32ea5681728d6a6c521f44202e424e99033ca592413aca
|
| 3 |
size 430957037
|