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Top Tracks
1
Introduction
2
The pipeline function
3
Agent process
4
Encoder
5
What is Transfer Learning?
6
Instantiate a Transformers model (PyTorch)
7
Welcome To The Agents Course! Introduction to the Course and Q&A
8
Welcome to the Hugging Face course
9
pooling
10
Intro
11
What happens inside the pipeline function? (PyTorch)
12
Tokenization
13
What is perplexity?
14
Encoder Decoder
15
The carbon footprint of Transformers
16
The Transformer architecture
17
Meet Silvia
18
Datasets
19
What is the ROUGE metric?
20
Hugging Face Journal Club - DeepSeek R1
21
Reinforcement Learning from Human Feedback: From Zero to chatGPT
22
cosine similarity
23
Efficient Few-Shot Learning with Sentence Transformers
24
nearest neighbors
25
Build and Deploy a Machine Learning App in 2 Minutes
26
Introduction to Whisper Fine Tuning Event
27
Colab
28
Loading a custom dataset
29
Deploy to SageMaker
30
Introducing AutoNLP (Trailer)
31
🤗 Tasks: Question Answering
32
Meet Leandro
33
Training
34
An AI community with Machine Learning, Datasets, Models and More
35
Methods
36
Object Detection
37
Results
38
🤗 Tasks: Causal Language Modeling
39
Train and use a NLP model in 10 mins!
40
What happens inside the pipeline function? (TensorFlow)
41
Instantiate a Transformers model (TensorFlow)
42
Tokenizers Overview
43
Mapping
44
Batching inputs together (PyTorch)
45
Load metric
46
Problems
47
Chapter 2
48
Chapter 4
49
Chapter 5
50
How to Build Machine Learning APIs Using Gradio
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