Readme

Author: jacobgil

README.md

@@ -189,6 +189,8 @@ Here you can find detailed examples of how to use this for various custom use ca
 These point to the new documentation jupter-book for fast rendering.
 The jupyter notebooks themselves can be found under the tutorials folder in the git repository.
 
+- [Notebook tutorial: XAI Recepies for the HuggingFace 🤗 Image Classification Models](<https://jacobgil.github.io/pytorch-gradcam-book/huggingface.html>)
+
 - [Notebook tutorial: Deep Feature Factorizations for better model explainability](<https://jacobgil.github.io/pytorch-gradcam-book/Deep%20Feature%20Factorizations.html>)
 
 - [Notebook tutorial: Class Activation Maps for Object Detection with Faster-RCNN](<https://jacobgil.github.io/pytorch-gradcam-book/Class%20Activation%20Maps%20for%20Object%20Detection%20With%20Faster%20RCNN.html>)

tutorials/HuggingFace.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "af91baae",
+   "id": "917d1776",
    "metadata": {},
    "source": [
     "# XAI Recepies for the HuggingFace 🤗 Image Classification Models\n",
@@ -222,7 +222,7 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "id": "941f3109",
+   "id": "ac54b490",
    "metadata": {},
    "outputs": [
     {
@@ -328,7 +328,7 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "id": "ffa9f138",
+   "id": "5207e13e",
    "metadata": {},
    "outputs": [
     {
@@ -392,7 +392,7 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "id": "a75e7ea5",
+   "id": "67c57876",
    "metadata": {},
    "outputs": [
     {
@@ -464,7 +464,7 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "id": "23c44aa1",
+   "id": "540f05e8",
    "metadata": {},
    "outputs": [
     {
@@ -538,7 +538,7 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "id": "419e2704",
+   "id": "3108e479",
    "metadata": {},
    "outputs": [
     {
@@ -611,7 +611,7 @@
   {
    "cell_type": "code",
    "execution_count": 29,
-   "id": "6a52daa8",
+   "id": "54ccaa6a",
    "metadata": {},
    "outputs": [
     {
@@ -701,7 +701,7 @@
   {
    "cell_type": "code",
    "execution_count": 30,
-   "id": "3e82d455",
+   "id": "680e49de",
    "metadata": {},
    "outputs": [
     {
@@ -774,7 +774,7 @@
   {
    "cell_type": "code",
    "execution_count": 31,
-   "id": "01fbaef9",
+   "id": "3ec0e664",
    "metadata": {},
    "outputs": [
     {
@@ -834,7 +834,7 @@
   {
    "cell_type": "code",
    "execution_count": 32,
-   "id": "e8ca49de",
+   "id": "6d9a3c93",
    "metadata": {},
    "outputs": [
     {