Instructions to use rose-e-wang/priorKnowledge_a6000_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rose-e-wang/priorKnowledge_a6000_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rose-e-wang/priorKnowledge_a6000_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rose-e-wang/priorKnowledge_a6000_3") model = AutoModelForSequenceClassification.from_pretrained("rose-e-wang/priorKnowledge_a6000_3") - 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:b7aa896a7b626550a180666263bcae3d6f9b6ecf38e80f06920db057bd44c004
|
| 3 |
+
size 1421507704
|