Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ASCCCCCCCC/distilbert-base-multilingual-cased-amazon_zh_20000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ASCCCCCCCC/distilbert-base-multilingual-cased-amazon_zh_20000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ASCCCCCCCC/distilbert-base-multilingual-cased-amazon_zh_20000")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ASCCCCCCCC/distilbert-base-multilingual-cased-amazon_zh_20000") model = AutoModelForSequenceClassification.from_pretrained("ASCCCCCCCC/distilbert-base-multilingual-cased-amazon_zh_20000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ASCCCCCCCC/distilbert-base-multilingual-cased-amazon_zh_20000: direct link, hf CLI and curl.
- Browser
- Download file 541 MB
-
https://huggingface.co/ASCCCCCCCC/distilbert-base-multilingual-cased-amazon_zh_20000/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ASCCCCCCCC/distilbert-base-multilingual-cased-amazon_zh_20000/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ASCCCCCCCC/distilbert-base-multilingual-cased-amazon_zh_20000/resolve/main/pytorch_model.bin
541 MB
- Xet hash:
- 72bc92b37371948178348ed08e95657e1d37b5984ff716dcc25ed8d6db41059b
- Size of remote file:
- 541 MB
- SHA256:
- fb983c30207c8c5bf298f09dd172f823daa3d999267b1672893ef6d681f67947
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