Instructions to use Eurosmart/distilbert-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Eurosmart/distilbert-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Eurosmart/distilbert-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Eurosmart/distilbert-qa") model = AutoModelForQuestionAnswering.from_pretrained("Eurosmart/distilbert-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 265470032
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:de2110c0e07f876aa4eb6df33cb081dec59b56ada8455883cbaf8fec11aaef98
|
| 3 |
size 265470032
|
runs/May26_15-05-27_c8682937ec43/events.out.tfevents.1716735928.c8682937ec43.133.0
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:e2ff6cf4a84e91fa7da107024164faee2a8c5db4b83c5ee88e494a7cad39cc02
|
| 3 |
+
size 4962
|
runs/May26_15-12-16_c8682937ec43/events.out.tfevents.1716736337.c8682937ec43.232.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:594f37890d2f16330cac195c682557d2de3e97834d426183d780acbcc6206ba2
|
| 3 |
+
size 4691
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4920
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bbd5acb33a0f79ef38f9ca2b0c4438a9a878ad18199524ea0190f2bdb4580615
|
| 3 |
size 4920
|