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:
- bb0e6334be054e3b7af903ed8995dc685c1e2d9fd2c997c4f71c2353e2e03c7d
- Size of remote file:
- 876 MB
- SHA256:
- 6270c3ad69b0a4bf1d0ea6cb13dd421ed7dfb6558da58ebb0aba1acc2fc85637
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