Instructions to use lhy/char-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lhy/char-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="lhy/char-bert-base-uncased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("lhy/char-bert-base-uncased") model = AutoModelForMaskedLM.from_pretrained("lhy/char-bert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 18
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 346953131
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:af5f1d667980ad14b636a7411ba641d3a027eb46c09f0f9d63f9a8c4723c6b50
|
| 3 |
size 346953131
|