Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use mjbeattie/fifi_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mjbeattie/fifi_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mjbeattie/fifi_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mjbeattie/fifi_classification") model = AutoModelForSequenceClassification.from_pretrained("mjbeattie/fifi_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mjbeattie/fifi_classification: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/mjbeattie/fifi_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://mjbeattie/fifi_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mjbeattie/fifi_classification/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 34db4af996142786b5031b634a045a91bd1b6713f0c1b1d2dc3a841cc76d1681
- Size of remote file:
- 5.11 kB
- SHA256:
- d11af266e23843196e3e072b42b002279f32b82bc8ae20f3ff4c72a506b046ca
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