Instructions to use krinal214/bert-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krinal214/bert-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="krinal214/bert-all")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("krinal214/bert-all") model = AutoModelForQuestionAnswering.from_pretrained("krinal214/bert-all") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 709140913
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1fb153c8ee5d14b3d827f98b3383c286b20ae4f41760371b86a7e0423198a8df
|
| 3 |
size 709140913
|
runs/Mar15_19-38-19_19db68e773fb/1647375085.0196974/events.out.tfevents.1647375085.19db68e773fb.35.2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:75c50d196cb3168c13187c061bc6807c32e1169a8f3427e37cfb9c93a776d589
|
| 3 |
+
size 4827
|
runs/Mar15_19-38-19_19db68e773fb/events.out.tfevents.1647373112.19db68e773fb.35.0
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 sha256:1a8e1bc76aeea34045448b0e6d6190d0d911f50ae1e6db3f39b210ced8783aa2
|
| 3 |
+
size 8023
|