Instructions to use ArisuNguyen/processed_bart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArisuNguyen/processed_bart 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="ArisuNguyen/processed_bart")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ArisuNguyen/processed_bart") model = AutoModelForQuestionAnswering.from_pretrained("ArisuNguyen/processed_bart", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit 路
495ffdd
1
Parent(s): bdee842
Training in progress, step 23000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1625348817
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d746c15517c08775af18909dad2ebe33c04bb3c1a4aebcf08c564e971b5ed39a
|
| 3 |
size 1625348817
|
runs/May27_06-59-26_8cadf9b0083d/events.out.tfevents.1685170781.8cadf9b0083d.50707.0
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 sha256:846288645197945e9c39a20369122f5ccdc7583cb8eccec33cb55579c4a31650
|
| 3 |
+
size 12286
|