Instructions to use h4shk4t/darkpatternLLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use h4shk4t/darkpatternLLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="h4shk4t/darkpatternLLM")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("h4shk4t/darkpatternLLM") model = AutoModelForSequenceClassification.from_pretrained("h4shk4t/darkpatternLLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload RobertaForSequenceClassification
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 1421495416
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:475e96f2e17d32bfc51685d5ac234305ba841e49820d9b4c47eae04cdf3e428b
|
| 3 |
size 1421495416
|