Text Classification
Transformers
Safetensors
distilbert
sentiment-analysis
smol-course
text-embeddings-inference
Instructions to use AIICLAB/my-first-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIICLAB/my-first-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIICLAB/my-first-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AIICLAB/my-first-model") model = AutoModelForSequenceClassification.from_pretrained("AIICLAB/my-first-model") - Notebooks
- Google Colab
- Kaggle
File size: 299 Bytes
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library_name: transformers
pipeline_tag: text-classification
license: apache-2.0
tags:
- sentiment-analysis
- smol-course
---
# My First Model (AIICLAB)
這是我在 Hugging Face 課程中上傳的第一個分析模型。
## 如何使用
你可以直接在右側的測試框輸入英文句子 |