Instructions to use parth0908/bert-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use parth0908/bert-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="parth0908/bert-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("parth0908/bert-squad2") model = AutoModelForQuestionAnswering.from_pretrained("parth0908/bert-squad2") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1500
Browse files
logs/events.out.tfevents.1741526554.36c56c76e8b8.31.1
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 sha256:058efdd03ad84ea2471114efc3d918fdba862cf12d53cdb0b3a5659edebffba4
|
| 3 |
+
size 12188
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1330173664
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3e826f2bd9b3e21e47caede26751a6017a12aed0ca32c1ee7fe72a6f8e3f47cf
|
| 3 |
size 1330173664
|