Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use myatsu/finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use myatsu/finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="myatsu/finetune")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("myatsu/finetune") model = AutoModelForSequenceClassification.from_pretrained("myatsu/finetune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65fc1f3c9f4cf006ea9b3fabe0e64f05506fd1810ffa501b8d80ff6a59ebc018
- Size of remote file:
- 5.18 kB
- SHA256:
- 2cd8309021fc9adc5b341c11e59efa43f310ce52ecbc9d679d00ae7c928ba655
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