Instructions to use phunc20/vina-cased-tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phunc20/vina-cased-tmp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="phunc20/vina-cased-tmp")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("phunc20/vina-cased-tmp") model = AutoModelForMaskedLM.from_pretrained("phunc20/vina-cased-tmp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload RobertaForMaskedLM
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "/home/phunc20/downloads/checkpoint-
|
| 3 |
"architectures": [
|
| 4 |
"RobertaForMaskedLM"
|
| 5 |
],
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "/home/phunc20/downloads/2nd_train/checkpoint-33500",
|
| 3 |
"architectures": [
|
| 4 |
"RobertaForMaskedLM"
|
| 5 |
],
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 436520619
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fca086bdc32e2b7a5d12cb683f9f9b65bd76378511e52927f053c5b573a0bc1e
|
| 3 |
size 436520619
|