Instructions to use intanm/mdeberta-webis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intanm/mdeberta-webis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="intanm/mdeberta-webis")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("intanm/mdeberta-webis") model = AutoModelForQuestionAnswering.from_pretrained("intanm/mdeberta-webis") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1112905680
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0c1410dd09b182afe424abf466360a17bd704aa45dc22c9dd3ad1e19c4aaeb33
|
| 3 |
size 1112905680
|
runs/Nov05_05-17-00_89c0efc404b9/events.out.tfevents.1699161420.89c0efc404b9.2264.0
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 sha256:0a7b06cd69bda9cde1717daed198fbf4ff7685655d1928e51ccfc5f417671af8
|
| 3 |
+
size 7415
|