Instructions to use sakgoyal/NLP_HW3_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sakgoyal/NLP_HW3_roberta with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("sakgoyal/NLP_HW3_roberta") model = AutoModelForMultipleChoice.from_pretrained("sakgoyal/NLP_HW3_roberta", 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 498609724
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c40704bbe96992feea059c42da8c22ac7f16dc23502e5c4e8fb0ce8b352f95e1
|
| 3 |
size 498609724
|
runs/Dec01_05-09-33_3dd4048d36b7/events.out.tfevents.1701407379.3dd4048d36b7.27.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f1a3336bb36afaa5ef09b05d7b9adb4d48d9daa159cb196e524f835e19d5df54
|
| 3 |
+
size 4395
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4155
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8f8e5841561d2cbc76cdd7292c157884c50ea47ddce00dbbe93a230803e7cae4
|
| 3 |
size 4155
|