Instructions to use flax-community/roberta-base-thai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/roberta-base-thai with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="flax-community/roberta-base-thai")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("flax-community/roberta-base-thai") model = AutoModelForMaskedLM.from_pretrained("flax-community/roberta-base-thai", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add pt model from 15K trained steps
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7ae4b852fdda459976e15d78d721b0049efc31d98a13238fdb603658b9ee5bf0
|
| 3 |
+
size 498796983
|