Instructions to use christinacdl/BERT_Offensive_English_Twitter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use christinacdl/BERT_Offensive_English_Twitter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="christinacdl/BERT_Offensive_English_Twitter")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("christinacdl/BERT_Offensive_English_Twitter") model = AutoModelForSequenceClassification.from_pretrained("christinacdl/BERT_Offensive_English_Twitter", device_map="auto") - 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 sha256:1dae56c063bd3a562ea06d1d4a969ccd89b4a2f7c698e96ce0dccae130438e49
|
| 3 |
+
size 1340639240
|