Instructions to use Adedayo2000/BERTweet-Support-Ticket-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Adedayo2000/BERTweet-Support-Ticket-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Adedayo2000/BERTweet-Support-Ticket-Classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Adedayo2000/BERTweet-Support-Ticket-Classifier") model = AutoModelForSequenceClassification.from_pretrained("Adedayo2000/BERTweet-Support-Ticket-Classifier", 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 539639372
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:12e9e370d6d05cf6c310941959538e206869eb519dab88126945f9d43979fde6
|
| 3 |
size 539639372
|