Instructions to use vxbrandon/pruned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vxbrandon/pruned_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="vxbrandon/pruned_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("vxbrandon/pruned_model") model = AutoModelForQuestionAnswering.from_pretrained("vxbrandon/pruned_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 7000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 378743061
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d20f42caa9440971945f4e505246ceffa876e2c72050fc18b0a5e74d7af0f0e3
|
| 3 |
size 378743061
|
runs/Jul28_01-56-49_69e414009aab/events.out.tfevents.1690509412.69e414009aab.227.1
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 sha256:590904a020d33fa2c359be75875ef93876d85cccf63363ed3d2bba2fedf2bf31
|
| 3 |
+
size 8868
|