Instructions to use michaelginn/usp-gloss-denoiser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelginn/usp-gloss-denoiser with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="michaelginn/usp-gloss-denoiser")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("michaelginn/usp-gloss-denoiser") model = AutoModelForMaskedLM.from_pretrained("michaelginn/usp-gloss-denoiser") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:89ab050d88d3d7bf3ebe75b384e403881c98f783f807229a3d5f25d364f6813e
|
| 3 |
+
size 343035248
|