Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
custom_code
text-embeddings-inference
Instructions to use potemin/toxic_generation_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use potemin/toxic_generation_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="potemin/toxic_generation_classifier", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("potemin/toxic_generation_classifier", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("potemin/toxic_generation_classifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Roman Potemin commited on
Training in progress, epoch 4
Browse files
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 sha256:23f37a6aa0704fbb5d25aed471f04c465bf4efc0b8c3cc551a21a646a7129680
|
| 3 |
size 116784136
|
runs/Sep12_23-15-18_legal-tech-0/events.out.tfevents.1726172119.legal-tech-0.1432.14
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0cdc6c4ea73f15f25104cacbcc40865e4608e4b170b07b4adc61a082e01922d9
|
| 3 |
+
size 6750
|