Instructions to use natankatz/chan_model_class_2_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use natankatz/chan_model_class_2_0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="natankatz/chan_model_class_2_0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("natankatz/chan_model_class_2_0") model = AutoModelForSequenceClassification.from_pretrained("natankatz/chan_model_class_2_0") - 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 sha256:99521b4863b7bec06fefbf7e7d1ff6f6bfbab4941255aadd252cf7afc692b2f5
|
| 3 |
+
size 444054224
|