Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
custom_code
text-embeddings-inference
Instructions to use poteminr/toxic_generation_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use poteminr/toxic_generation_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="poteminr/toxic_generation_classifier", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("poteminr/toxic_generation_classifier", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("poteminr/toxic_generation_classifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
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 116784136
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ec39c6399de2076a33bb11c440ffcfa382112a08409e7897c685d3dd066fe763
|
| 3 |
size 116784136
|