Text Classification
Transformers
Safetensors
English
roberta
distilroberta
climate
text-embeddings-inference
Instructions to use maai-project/maai-frame-sl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maai-project/maai-frame-sl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="maai-project/maai-frame-sl")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("maai-project/maai-frame-sl") model = AutoModelForSequenceClassification.from_pretrained("maai-project/maai-frame-sl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from maai-project/maai-frame-sl: direct link, hf CLI and curl.
- Browser
- Download file 798 kB
-
https://huggingface.co/maai-project/maai-frame-sl/resolve/4f7d7b0d9f44e784bc6168de2138d42f8e70cdc9/vocab.json
- Command line
-
hf download hf://maai-project/maai-frame-sl@4f7d7b0d9f44e784bc6168de2138d42f8e70cdc9/vocab.json
-
curl -L -o vocab.json https://huggingface.co/maai-project/maai-frame-sl/resolve/4f7d7b0d9f44e784bc6168de2138d42f8e70cdc9/vocab.json
798 kB
File too large to display, you can check the raw version instead.