Instructions to use grace-pro/hyp_only_machine_gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grace-pro/hyp_only_machine_gen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="grace-pro/hyp_only_machine_gen")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("grace-pro/hyp_only_machine_gen") model = AutoModelForSequenceClassification.from_pretrained("grace-pro/hyp_only_machine_gen", device_map="auto") - 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 sha256:44ae0dfc413f29ebc14c101ac1a08f6b28d989e80e631f80650d0f8951a2d0e4
|
| 3 |
+
size 437961724
|