Instructions to use cgt/my-QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cgt/my-QA 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="cgt/my-QA")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("cgt/my-QA") model = AutoModelForQuestionAnswering.from_pretrained("cgt/my-QA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5500
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1298034865
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9232ce0507261a3d5c760740404643547d093ef8c61f2cd97e775329e5a66cab
|
| 3 |
size 1298034865
|
runs/Dec05_19-45-53_omnisky/events.out.tfevents.1670240764.omnisky.740728.0
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:d52b4599f1ca5d7b6eb70f1fd9398cdff999e933db5945344e14e01da67abd26
|
| 3 |
+
size 5806
|