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shaViNX
/

ChatLib2

Text Classification

text-embeddings-inference

Model card Files Files and versions

Instructions to use shaViNX/ChatLib2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use shaViNX/ChatLib2 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="shaViNX/ChatLib2")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("shaViNX/ChatLib2")
model = AutoModelForSequenceClassification.from_pretrained("shaViNX/ChatLib2")

Notebooks
Google Colab
Kaggle

How to use from the

Use from the

Transformers library

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="shaViNX/ChatLib2")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("shaViNX/ChatLib2")
model = AutoModelForSequenceClassification.from_pretrained("shaViNX/ChatLib2")

Quick Links

Read model documentation
Read docs on high-level-pipeline
Read our learning resources

For ChatLib

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