Instructions to use Shushant/questionansweringmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shushant/questionansweringmodel with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Shushant/questionansweringmodel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Shushant/questionansweringmodel") model = AutoModelForQuestionAnswering.from_pretrained("Shushant/questionansweringmodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Shushant Pudasaini commited on
Commit 路
3c23108
1
Parent(s): 0022fcf
Training in progress, step 49500
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1736194351
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:55ea989c62ca7da54b7b2893daa65da84b92ad5f528313869d4606475e9e2911
|
| 3 |
size 1736194351
|
runs/Mar14_07-36-35_g002/events.out.tfevents.1678775837.g002.239158.0
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 sha256:44eba7858928906f00842737b0270df6789ab925be1364209ad95a8c4a5c9b2a
|
| 3 |
+
size 21920
|