Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use trentmkelly/autotrain-roblox-10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trentmkelly/autotrain-roblox-10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="trentmkelly/autotrain-roblox-10")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("trentmkelly/autotrain-roblox-10") model = AutoModelForSequenceClassification.from_pretrained("trentmkelly/autotrain-roblox-10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e4ea8114d09ccedf4ced726b059a371ac6557b1beb197fe86df6192d30b7bfc
- Size of remote file:
- 1.06 kB
- SHA256:
- 777d8e7e1c0ca1f9ec96699537d35f0d484f6f38cb117a13acfdb561dfed2f9e
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