Instructions to use peanutacake/20_en_acc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peanutacake/20_en_acc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="peanutacake/20_en_acc")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("peanutacake/20_en_acc") model = AutoModelForTokenClassification.from_pretrained("peanutacake/20_en_acc") - 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 sha256:69bca2bea3d4eda69983f53b17cde8b7264ea873db353bbf067b0b76dcf95315
|
| 3 |
+
size 435627964
|