Instructions to use joonhan/roberta-roa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joonhan/roberta-roa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="joonhan/roberta-roa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("joonhan/roberta-roa") model = AutoModelForTokenClassification.from_pretrained("joonhan/roberta-roa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ajskdlf64 commited on
Commit ·
5e372aa
1
Parent(s): 8d8ea76
add model
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1342778993
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d3d081a29e2720662d48a0ba3483be9fdcc0cb879900a3a9316f831e6a07792c
|
| 3 |
size 1342778993
|