Instructions to use HugoGiddins/iscrypto_finetuned_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HugoGiddins/iscrypto_finetuned_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HugoGiddins/iscrypto_finetuned_v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HugoGiddins/iscrypto_finetuned_v1") model = AutoModelForSequenceClassification.from_pretrained("HugoGiddins/iscrypto_finetuned_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download classifier.bin from HugoGiddins/iscrypto_finetuned_v1: direct link, hf CLI and curl.
- Browser
- Download file 10.7 kB
-
https://huggingface.co/HugoGiddins/iscrypto_finetuned_v1/resolve/main/classifier.bin
- Command line
-
hf download hf://HugoGiddins/iscrypto_finetuned_v1/classifier.bin
-
curl -L -o classifier.bin https://huggingface.co/HugoGiddins/iscrypto_finetuned_v1/resolve/main/classifier.bin
10.7 kB
- Xet hash:
- 67dd40553e595b59663eee2961f8ef1c34f3eafe9fb6835c13f61f41c4ee254e
- Size of remote file:
- 10.7 kB
- SHA256:
- 814ed4ad4d4f0e7e9a82fef8120f43627c37769ff299284f60c27e268d307b87
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