Text Classification
Transformers
PyTorch
JAX
Safetensors
English
distilbert
text-embeddings-inference
Instructions to use hidude562/Wiki-Complexity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hidude562/Wiki-Complexity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hidude562/Wiki-Complexity")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hidude562/Wiki-Complexity") model = AutoModelForSequenceClassification.from_pretrained("hidude562/Wiki-Complexity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from hidude562/Wiki-Complexity: direct link, hf CLI and curl.
- Browser
- Download file 0 Bytes
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https://huggingface.co/hidude562/Wiki-Complexity/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://hidude562/Wiki-Complexity/flax_model.msgpack
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curl -L -o flax_model.msgpack https://huggingface.co/hidude562/Wiki-Complexity/resolve/main/flax_model.msgpack
0 Bytes