Instructions to use owen198/llama3_70b_philosophy-ROCBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use owen198/llama3_70b_philosophy-ROCBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="owen198/llama3_70b_philosophy-ROCBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("owen198/llama3_70b_philosophy-ROCBERT") model = AutoModelForSequenceClassification.from_pretrained("owen198/llama3_70b_philosophy-ROCBERT") - Notebooks
- Google Colab
- Kaggle
Upload RoCBertForSequenceClassification
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 469100744
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ecf24de26c9fc7250abf223e91bf9052176a1df1ad5e62984746b9b0e6986aab
|
| 3 |
size 469100744
|