Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Cielciel/aift-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cielciel/aift-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cielciel/aift-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cielciel/aift-model") model = AutoModelForSequenceClassification.from_pretrained("Cielciel/aift-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Cielciel/aift-model: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/Cielciel/aift-model/resolve/main/training_args.bin
- Command line
-
hf download hf://Cielciel/aift-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Cielciel/aift-model/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 5120f02828e5dd362d75a7fb5ac143947263e4b2ba2b3eec66c39b73303fe19e
- Size of remote file:
- 4.86 kB
- SHA256:
- a59300b4b4f42c5afa721bc2da8881eb7bb087927375c8c5333633350e4a3167
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