Instructions to use acho0057/sentiment_analysis_custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use acho0057/sentiment_analysis_custom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="acho0057/sentiment_analysis_custom")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("acho0057/sentiment_analysis_custom") model = AutoModelForSequenceClassification.from_pretrained("acho0057/sentiment_analysis_custom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from acho0057/sentiment_analysis_custom: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/acho0057/sentiment_analysis_custom/resolve/main/tf_model.h5
- Command line
-
hf download hf://acho0057/sentiment_analysis_custom/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/acho0057/sentiment_analysis_custom/resolve/main/tf_model.h5
499 MB
- Xet hash:
- 8b6393874328d6226426292a7b05b9f8b29b55a87c828020a2d72d80d3b5ffa5
- Size of remote file:
- 499 MB
- SHA256:
- 682358ffb3869b08a144d5e59325534335729720fe64d5f2b3a543f8e5d14a9e
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