Instructions to use iamholmes/first-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamholmes/first-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="iamholmes/first-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("iamholmes/first-model") model = AutoModelForSequenceClassification.from_pretrained("iamholmes/first-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 50c8cc0850877fc724ba85891b0a10d2e8790e59b34a0193869a3532b6932858
- Size of remote file:
- 438 MB
- SHA256:
- 3a6a1059c84f04df81e594c73966f156670d6d9ef6a91ad624b614677bcf266d
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