Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use isaacwilliam4/insyt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use isaacwilliam4/insyt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="isaacwilliam4/insyt")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("isaacwilliam4/insyt") model = AutoModelForSequenceClassification.from_pretrained("isaacwilliam4/insyt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from isaacwilliam4/insyt: direct link, hf CLI and curl.
- Browser
- Download file 4.48 kB
-
https://huggingface.co/isaacwilliam4/insyt/resolve/main/training_args.bin
- Command line
-
hf download hf://isaacwilliam4/insyt/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/isaacwilliam4/insyt/resolve/main/training_args.bin
4.48 kB
- Xet hash:
- 5195e11c279dd747676936ad19a5360c118fabedb5631e58374f0948c567ae50
- Size of remote file:
- 4.48 kB
- SHA256:
- 24d7908d279e3c2fb70b32f4d719bf13a3239cf0d3801a4c664ee4b6a343f0c5
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