Text Classification
Transformers
Safetensors
PEFT
English
roberta
nlp
lora
multitask-learning
customer-support
text-embeddings-inference
Instructions to use San-Analytics/TicketIQ-MultiTask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use San-Analytics/TicketIQ-MultiTask with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="San-Analytics/TicketIQ-MultiTask")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("San-Analytics/TicketIQ-MultiTask") model = AutoModelForSequenceClassification.from_pretrained("San-Analytics/TicketIQ-MultiTask") - PEFT
How to use San-Analytics/TicketIQ-MultiTask with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58ed4d1c725d78e15a45430cdbff5d334bcd5f9298cbed02d23fa9bdb1ef832e
- Size of remote file:
- 501 MB
- SHA256:
- 618590f017524ea00fd964455e742d6f2eb5b698df85b55b829d781028ed1dc4
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