Instructions to use Jehadoumer/task2a-preprocessed-twitter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jehadoumer/task2a-preprocessed-twitter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jehadoumer/task2a-preprocessed-twitter")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jehadoumer/task2a-preprocessed-twitter") model = AutoModelForSequenceClassification.from_pretrained("Jehadoumer/task2a-preprocessed-twitter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Jehadoumer/task2a-preprocessed-twitter: direct link, hf CLI and curl.
- Browser
- Download file 541 MB
-
https://huggingface.co/Jehadoumer/task2a-preprocessed-twitter/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Jehadoumer/task2a-preprocessed-twitter/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Jehadoumer/task2a-preprocessed-twitter/resolve/main/pytorch_model.bin
541 MB
- Xet hash:
- 1413f844dce4f270d7dfca7d8bec75257b1a9d656860a0f54a1ef6eef0b48b09
- Size of remote file:
- 541 MB
- SHA256:
- 3c0e5bc3e9f986b77cda9e895dbaa32556087c2a3d89bf665a489c11ff9dbd39
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