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:
- 08f44917203f6b8db2ca1e722d5b4b4981206e65e500526497e5dd72126aea41
- Size of remote file:
- 5.37 kB
- SHA256:
- 7845b97eee1b8dd9e3f419ed40b0b2fc02747c172b59955185a24b90b0ed4070
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