Instructions to use ozlemsenel/bert-with-rag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ozlemsenel/bert-with-rag with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ozlemsenel/bert-with-rag")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ozlemsenel/bert-with-rag") model = AutoModelForQuestionAnswering.from_pretrained("ozlemsenel/bert-with-rag") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 16000
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1336424168
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f7e8da77110a8682073d45b5e09974f172bb2c187da772740a60eb829d8ac191
|
| 3 |
size 1336424168
|
runs/Jul10_12-11-59_e2b2985e987b/events.out.tfevents.1720613529.e2b2985e987b.431.0
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 sha256:36d0c7a9394d43811465892fdf53d3d7060ca09d44ecfe2cf69c17c9b6029319
|
| 3 |
+
size 9962
|