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")# 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 model.safetensors from aequa-tech/flame-it: direct link, hf CLI and curl.
- Browser
- Download file 737 MB
-
https://huggingface.co/aequa-tech/flame-it/resolve/main/model.safetensors
- Command line
-
hf download hf://aequa-tech/flame-it/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/aequa-tech/flame-it/resolve/main/model.safetensors
737 MB
- Xet hash:
- 1fe3b60ef5ae8163055d7dd182bfa59018ee6f8801f8d1923c26bcff3cbadd35
- Size of remote file:
- 737 MB
- SHA256:
- 9b8969b132d37554069d9b03444c017ed9780c251e7ad480402aad43d7f0e600
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