Instructions to use aequa-tech/flame-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aequa-tech/flame-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aequa-tech/flame-it")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aequa-tech/flame-it") model = AutoModelForSequenceClassification.from_pretrained("aequa-tech/flame-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.txt from aequa-tech/flame-it: direct link, hf CLI and curl.
- Browser
- Download file 1.11 MB
-
https://huggingface.co/aequa-tech/flame-it/resolve/main/vocab.txt
- Command line
-
hf download hf://aequa-tech/flame-it/vocab.txt
-
curl -L -o vocab.txt https://huggingface.co/aequa-tech/flame-it/resolve/main/vocab.txt
1.11 MB
File too large to display, you can check the raw version instead.