Instructions to use NPCProgrammer/tweet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NPCProgrammer/tweet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NPCProgrammer/tweet")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NPCProgrammer/tweet") model = AutoModelForSequenceClassification.from_pretrained("NPCProgrammer/tweet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from NPCProgrammer/tweet: direct link, hf CLI and curl.
- Browser
- Download file 46.7 MB
-
https://huggingface.co/NPCProgrammer/tweet/resolve/main/model.safetensors
- Command line
-
hf download hf://NPCProgrammer/tweet/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/NPCProgrammer/tweet/resolve/main/model.safetensors
46.7 MB
- Xet hash:
- 8ea23fd032433b777536006a97fb82353cd92fb9f0697ee303dfada49b386877
- Size of remote file:
- 46.7 MB
- SHA256:
- c5ae0cdda18b3953eb65fc7dde7a2e372f7905140cbc4e069dd4fa24ec8385ab
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