Instructions to use ratno/ub_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ratno/ub_model 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="ratno/ub_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ratno/ub_model") model = AutoModelForQuestionAnswering.from_pretrained("ratno/ub_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 14500
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 265492517
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d5c084d6a5e9cd0acdde9d6797029e171752c880da7f4d55a5139a234466c552
|
| 3 |
size 265492517
|
runs/Jul10_07-03-24_e51541712e1a/events.out.tfevents.1688972616.e51541712e1a.526129.0
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 sha256:845d7c994f3a241f1f65aaebd97ebb5541bc247b57fdd479472353c9533b2262
|
| 3 |
+
size 8916
|