Instructions to use abcdda/text_analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abcdda/text_analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abcdda/text_analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abcdda/text_analysis") model = AutoModelForSequenceClassification.from_pretrained("abcdda/text_analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from abcdda/text_analysis: direct link, hf CLI and curl.
- Browser
- Download file 3.31 kB
-
https://huggingface.co/abcdda/text_analysis/resolve/main/training_args.bin
- Command line
-
hf download hf://abcdda/text_analysis/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/abcdda/text_analysis/resolve/main/training_args.bin
3.31 kB
- Xet hash:
- d1f21803a01040322071e2b050ef5b467cb775d775a4ec1705fb3813b352c5d7
- Size of remote file:
- 3.31 kB
- SHA256:
- 30cc7e60404545209875cdf1e3906f58581b09d395150fcc1905b55acc5a7afb
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