Text Classification
Transformers
ONNX
Safetensors
PEFT
Transformers.js
English
bert
lora
reproducible-research
synthetic-data
Eval Results (legacy)
text-embeddings-inference
Instructions to use Ineeoluwa/adapterlab-support-intent-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ineeoluwa/adapterlab-support-intent-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ineeoluwa/adapterlab-support-intent-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ineeoluwa/adapterlab-support-intent-tiny") model = AutoModelForSequenceClassification.from_pretrained("Ineeoluwa/adapterlab-support-intent-tiny", device_map="auto") - PEFT
How to use Ineeoluwa/adapterlab-support-intent-tiny with PEFT:
Task type is invalid.
- Transformers.js
How to use Ineeoluwa/adapterlab-support-intent-tiny with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-classification', 'Ineeoluwa/adapterlab-support-intent-tiny'); - Notebooks
- Google Colab
- Kaggle
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