Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use King-8/flava_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use King-8/flava_data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="King-8/flava_data")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("King-8/flava_data") model = AutoModelForSequenceClassification.from_pretrained("King-8/flava_data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from King-8/flava_data: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/King-8/flava_data/resolve/main/training_args.bin
- Command line
-
hf download hf://King-8/flava_data/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/King-8/flava_data/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- b6e5669c522d9f7eae689843f35aedaf65efb54d1aefc75f17a0106ec31a52da
- Size of remote file:
- 5.24 kB
- SHA256:
- 501b288f6e197dc6b2a77f38aef3a5fa500e54bbf088e75de7ea7b8e9be89cfb
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