Model on OCI Data Science

Introducing Llama 3.3

The model is available to be downloaded from Meta’s website and on Hugging Face, an online model repository. Oracle Cloud Infrastructure (OCI) Data Science is a platform for data scientists and developers to work with open source models powered by OCI’s compute infrastructure with features that support the entire machine learning lifecycle. You can bring in Llama 3.3 70B Instruct from either Hugging Face or Meta to use inside OCI Data Science. OCI Data Science offers AI Quick Actions, a no-code
solution for customers to seamlessly manage, deploy, fine-
tune, and evaluate large language models inside our
platform.

AI Quick Actions

• You can access AI Quick Actions from a Data Science notebook
• AI Quick Actions, see About AI Quick Actions
• AI Quick Actions has a Hugging Face integration

Model

class BlogCategory(models.Model):
        name = models.CharField(max_length=100, unique=True)
        description = models.TextField(blank=True, null=True)
        slug = models.SlugField(max_length=100, unique=True, blank=True)
        created_at = models.DateTimeField(auto_now_add=True)
        updated_at = models.DateTimeField(auto_now=True)
        def save(self, *args, **kwargs):
            if not self.slug:
                self.slug = slugify(self.name)  
            super().save(*args, **kwargs)
        def __str__(self):
            return self.name
class BlogCategory(models.Model):
        name = models.CharField(max_length=100, unique=True)
        description = models.TextField(blank=True, null=True)
        slug = models.SlugField(max_length=100, unique=True, blank=True)
        created_at = models.DateTimeField(auto_now_add=True)
        updated_at = models.DateTimeField(auto_now=True)

        def save(self, *args, **kwargs):
            if not self.slug:
                self.slug = slugify(self.name)  
            super().save(*args, **kwargs)

        def __str__(self):
            return self.name
class BlogCategory(models.Model):
        name = models.CharField(max_length=100, unique=True)
        description = models.TextField(blank=True, null=True)
        slug = models.SlugField(max_length=100, unique=True, blank=True)
        created_at = models.DateTimeField(auto_now_add=True)
        updated_at = models.DateTimeField(auto_now=True)

        def save(self, *args, **kwargs):
            if not self.slug:
                self.slug = slugify(self.name)  
            super().save(*args, **kwargs)

        def __str__(self):
            return self.name

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原文链接：Model on OCI Data Science