Text Classification
Transformers
ONNX
Safetensors
bert
Eval Results (legacy)
text-embeddings-inference
Instructions to use AdamCodd/tinybert-sentiment-amazon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdamCodd/tinybert-sentiment-amazon with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AdamCodd/tinybert-sentiment-amazon")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AdamCodd/tinybert-sentiment-amazon") model = AutoModelForSequenceClassification.from_pretrained("AdamCodd/tinybert-sentiment-amazon", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from AdamCodd/tinybert-sentiment-amazon: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/AdamCodd/tinybert-sentiment-amazon/resolve/e0583383d6b30ba532143b0b83e02e55f36dfd74/model.safetensors
- Command line
-
hf download hf://AdamCodd/tinybert-sentiment-amazon@e0583383d6b30ba532143b0b83e02e55f36dfd74/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/AdamCodd/tinybert-sentiment-amazon/resolve/e0583383d6b30ba532143b0b83e02e55f36dfd74/model.safetensors
17.5 MB
- Xet hash:
- a76ea8938d7febd1451a4fad43db40e329356093e0a5150e4644887424d00de3
- Size of remote file:
- 17.5 MB
- SHA256:
- b2a21c60684abaf7d56ee423b70f24c8830435ef7e28f1eeee1c735a53b7a9c1
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