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 from transformers import pipeline pipe = pipeline("question-answering", model="ArisuNguyen/processed_bart")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ArisuNguyen/processed_bart") model = AutoModelForQuestionAnswering.from_pretrained("ArisuNguyen/processed_bart") - Notebooks
- Google Colab
- Kaggle
Commit 路
c85d97f
1
Parent(s): d48d0ac
Training in progress, step 16000
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 sha256:7bc0f7686eb77ac837de9dced55185ffa7b07d0520710c3680718018f59b8ada
|
| 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 sha256:5ee8b23ab61c76f24707f6208afade9185a10dbd4bf565ca261e2ffab8f78f5b
|
| 3 |
+
size 10046
|