Instructions to use shahidul034/drug_sentiment_analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shahidul034/drug_sentiment_analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shahidul034/drug_sentiment_analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shahidul034/drug_sentiment_analysis") model = AutoModelForSequenceClassification.from_pretrained("shahidul034/drug_sentiment_analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download code.zip from shahidul034/drug_sentiment_analysis: direct link, hf CLI and curl.
- Browser
- Download file 4.28 kB
-
https://huggingface.co/shahidul034/drug_sentiment_analysis/resolve/main/code.zip
- Command line
-
hf download hf://shahidul034/drug_sentiment_analysis/code.zip
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curl -L -o code.zip https://huggingface.co/shahidul034/drug_sentiment_analysis/resolve/main/code.zip
4.28 kB
- Xet hash:
- aed1c8cf846a42949384eb3ac4b85b3102663d1e14f0357e955716ce59abf813
- Size of remote file:
- 4.28 kB
- SHA256:
- c13846a30142be7084a3e344360a22030641974fd7e529151d1fd012ae39c30c
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