Instructions to use botcon/finetune-sentiment-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use botcon/finetune-sentiment-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="botcon/finetune-sentiment-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("botcon/finetune-sentiment-model") model = AutoModelForSequenceClassification.from_pretrained("botcon/finetune-sentiment-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ea4dc480efa89d8bd7b589b038cb34c1ca3fda76f9b0ca207608f4d6af5e4b52
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size 267832560
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