Instructions to use alexandrainst/da-subjectivivity-classification-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexandrainst/da-subjectivivity-classification-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alexandrainst/da-subjectivivity-classification-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alexandrainst/da-subjectivivity-classification-base") model = AutoModelForSequenceClassification.from_pretrained("alexandrainst/da-subjectivivity-classification-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from alexandrainst/da-subjectivivity-classification-base: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/alexandrainst/da-subjectivivity-classification-base/resolve/main/tf_model.h5
- Command line
-
hf download hf://alexandrainst/da-subjectivivity-classification-base/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/alexandrainst/da-subjectivivity-classification-base/resolve/main/tf_model.h5
443 MB
- Xet hash:
- adbdd6a13bf1ab355d2d2d72c913b33dc0027f56bb83d3f25b775c9a7ce6fa8a
- Size of remote file:
- 443 MB
- SHA256:
- f059fd99e79c23dc313c60a5164379d48ac4fdd908c52a7c9308a20695e13ab4
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